From eda16ae0adb36521162948b61283fbfb36b7e0fa Mon Sep 17 00:00:00 2001
From: Michael Goerz <mail@michaelgoerz.net>
Date: Mon, 3 Jun 2024 12:17:11 +0200
Subject: [PATCH] Release 1.3.0

---
 HISTORY.rst                                   |   6 +-
 Makefile                                      |   8 +-
 README.md                                     |   4 +-
 binder/environment.yml                        |   2 +-
 docs/01_overview.rst                          |   2 +-
 docs/09_examples.rst                          |   2 +-
 docs/index.rst                                |   2 +-
 .../01_example_simple_state_to_state.ipynb    | 162 ++++-----
 ...mple_lambda_system_rwa_complex_pulse.ipynb | 240 +++++++------
 ...mple_lambda_system_rwa_non_hermitian.ipynb | 254 +++++++------
 .../04_example_dissipative_qubit_reset.ipynb  | 196 +++++-----
 .../notebooks/05_example_transmon_xgate.ipynb | 206 +++++------
 docs/notebooks/06_example_3states.ipynb       | 296 +++++++--------
 docs/notebooks/07_example_PE.ipynb            | 226 +++++++-----
 docs/notebooks/08_example_ensemble.ipynb      | 338 ++++++++++--------
 docs/notebooks/09_example_numpy.ipynb         | 160 ++++-----
 src/krotov/__init__.py                        |   2 +-
 17 files changed, 1109 insertions(+), 997 deletions(-)

diff --git a/HISTORY.rst b/HISTORY.rst
index 8b39b446..17d89844 100644
--- a/HISTORY.rst
+++ b/HISTORY.rst
@@ -3,11 +3,11 @@ History
 =======
 
 
-1.3.0-dev (unreleased)
-----------------------
+1.3.0 (2024-06-03)
+------------------
 
 * Bugfix: `∫gₐdt` and total functional were reported incorrectly (`#96`_, thanks to `@daviehh`_)
-* Bugfix: Restrict `qutip` to version 4. Support for `qutip 5.0` will be added in a later release
+* Bugfix: Restrict ``qutip`` to version 4. Support for ``qutip 5.0`` will be added in a later release
 * Changed: Dropped support for Python 3.5 and Python 3.6
 * Changed: The documentation will no longer be provided in PDF format
 * Changed: Development is now organized around hatch_ instead of tox_
diff --git a/Makefile b/Makefile
index 90e2aa38..807d5bbb 100644
--- a/Makefile
+++ b/Makefile
@@ -65,7 +65,7 @@ listenvs: ## Show all hatch environments
 	hatch env show
 
 shell: ## Open a shell with all development tools
-	hatch shell
+	hatch -e default shell
 
 upload: dist ## Package and upload a release to pypi.org
 	hatch publish
@@ -95,7 +95,7 @@ uninstall:  ## uninstall the package from the active Python's site-packages
 # How to execute notebook files
 %.ipynb.log: %.ipynb
 	@echo ""
-	hatch run -- jupyter nbconvert --to notebook --execute --inplace --allow-errors --ExecutePreprocessor.kernel_name='python3'  --ExecutePreprocessor.timeout=-1 --config=/dev/null $< 2>&1 | tee $@
+	hatch -e default run -- jupyter nbconvert --to notebook --execute --inplace --allow-errors --ExecutePreprocessor.kernel_name='python3'  --ExecutePreprocessor.timeout=-1 --config=/dev/null $< 2>&1 | tee $@
 
 NOTEBOOKFILES = $(shell find docs/notebooks -maxdepth 1 -iname '*.ipynb')
 NOTEBOOKLOGS = $(patsubst %.ipynb,%.ipynb.log,$(NOTEBOOKFILES))
@@ -103,7 +103,7 @@ NOTEBOOKLOGS = $(patsubst %.ipynb,%.ipynb.log,$(NOTEBOOKFILES))
 notebooks: $(NOTEBOOKLOGS)  ## re-evaluate the notebooks
 	@echo ""
 	@echo "All notebook are now up to date; the were executed using the python3 kernel"
-	hatch run -- jupyter kernelspec list | grep python3
+	hatch -e default run -- jupyter kernelspec list | grep python3
 
 jupyter-lab:  ## Run a Jupyterlab server for editing the examples
-	hatch run -- jupyter lab
+	hatch -e default run -- jupyter lab
diff --git a/README.md b/README.md
index f6935865..61f7d039 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@
 [![Tests](https://github.com/qucontrol/krotov/actions/workflows/test.yml/badge.svg?branch=master)](https://github.com/qucontrol/krotov/actions?query=workflow%3ATests)
 [![Codecov](https://codecov.io/gh/qucontrol/krotov/branch/master/graph/badge.svg)](https://codecov.io/gh/qucontrol/krotov)
 [![BSD License](https://img.shields.io/badge/License-BSD-green.svg)](https://opensource.org/licenses/BSD-3-Clause)
-[![Launch Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/qucontrol/krotov/v1.2.1?filepath=docs%2Fnotebooks)
+[![Launch Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/qucontrol/krotov/v1.3.0?filepath=docs%2Fnotebooks)
 [![DOI](https://img.shields.io/badge/DOI-10.21468/SciPostPhys.7.6.080-blue.svg)](https://doi.org/10.21468/SciPostPhys.7.6.080)
 
 Python implementation of Krotov's method for quantum optimal control.
@@ -22,7 +22,7 @@ You can read the full documentation
 [online](https://qucontrol.github.io/krotov).
 
 If you use the `krotov` package in your research, please [cite
-it](https://qucontrol.github.io/krotov/v1.2.1/01_overview.html#citing-the-krotov-package).
+it](https://qucontrol.github.io/krotov/v1.3.0/01_overview.html#citing-the-krotov-package).
 
 ## Purpose
 
diff --git a/binder/environment.yml b/binder/environment.yml
index f609b153..f06e46cd 100644
--- a/binder/environment.yml
+++ b/binder/environment.yml
@@ -7,4 +7,4 @@ dependencies:
   - matplotlib
   - pip:
     - watermark
-    - git+https://github.com/qucontrol/krotov.git@master#egg=krotov
+    - krotov==1.3.0
\ No newline at end of file
diff --git a/docs/01_overview.rst b/docs/01_overview.rst
index 81016772..de1e5691 100644
--- a/docs/01_overview.rst
+++ b/docs/01_overview.rst
@@ -27,7 +27,7 @@ Krotov Python Package
       :target: https://opensource.org/licenses/BSD-3-Clause
    .. image:: https://mybinder.org/badge_logo.svg
       :alt: Launch Binder
-      :target: https://mybinder.org/v2/gh/qucontrol/krotov/v1.2.1?filepath=docs%2Fnotebooks
+      :target: https://mybinder.org/v2/gh/qucontrol/krotov/v1.3.0?filepath=docs%2Fnotebooks
    .. image:: https://img.shields.io/badge/DOI-10.21468/SciPostPhys.7.6.080-blue.svg
       :alt: DOI
       :target: https://doi.org/10.21468/SciPostPhys.7.6.080
diff --git a/docs/09_examples.rst b/docs/09_examples.rst
index f23ee7ff..56fcc8eb 100644
--- a/docs/09_examples.rst
+++ b/docs/09_examples.rst
@@ -6,7 +6,7 @@ Examples
 
 .. raw:: html
 
-    <a href="http://nbviewer.jupyter.org/github/qucontrol/krotov/blob/master/docs/notebooks" target="_blank"><img alt="Render on nbviewer" src="https://img.shields.io/badge/render%20on-nbviewer-orange.svg" style="vertical-align:text-bottom"></a>&nbsp;<a href="https://mybinder.org/v2/gh/qucontrol/krotov/master?filepath=docs%2Fnotebooks" target="_blank"><img alt="Launch Binder" src="https://mybinder.org/badge_logo.svg" style="vertical-align:text-bottom"></a>
+    <a href="http://nbviewer.jupyter.org/github/qucontrol/krotov/blob/v1.3.0/docs/notebooks" target="_blank"><img alt="Render on nbviewer" src="https://img.shields.io/badge/render%20on-nbviewer-orange.svg" style="vertical-align:text-bottom"></a>&nbsp;<a href="https://mybinder.org/v2/gh/qucontrol/krotov/v1.3.0?filepath=docs%2Fnotebooks" target="_blank"><img alt="Launch Binder" src="https://mybinder.org/badge_logo.svg" style="vertical-align:text-bottom"></a>
 
 .. toctree::
     :maxdepth: 1
diff --git a/docs/index.rst b/docs/index.rst
index 8e2703b8..235ecf9e 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -26,7 +26,7 @@ Welcome to the Krotov package's documentation!
       :target: https://opensource.org/licenses/BSD-3-Clause
    .. image:: https://mybinder.org/badge_logo.svg
       :alt: Launch Binder
-      :target: https://mybinder.org/v2/gh/qucontrol/krotov/v1.2.1?filepath=docs%2Fnotebooks
+      :target: https://mybinder.org/v2/gh/qucontrol/krotov/v1.3.0?filepath=docs%2Fnotebooks
    .. image:: https://img.shields.io/badge/DOI-10.21468/SciPostPhys.7.6.080-blue.svg
       :alt: DOI
       :target: https://doi.org/10.21468/SciPostPhys.7.6.080
diff --git a/docs/notebooks/01_example_simple_state_to_state.ipynb b/docs/notebooks/01_example_simple_state_to_state.ipynb
index 04260070..b7ed4c81 100644
--- a/docs/notebooks/01_example_simple_state_to_state.ipynb
+++ b/docs/notebooks/01_example_simple_state_to_state.ipynb
@@ -21,10 +21,10 @@
      "n": "1"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.021351Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.020861Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.678568Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.678029Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.114927Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.113597Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.657268Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.656634Z"
     }
    },
    "outputs": [
@@ -36,11 +36,11 @@
       "Python version       : 3.8.16\n",
       "IPython version      : 8.12.3\n",
       "\n",
-      "scipy     : 1.10.1\n",
       "qutip     : 4.7.6\n",
-      "krotov    : 1.2.1+dev\n",
-      "numpy     : 1.24.4\n",
+      "scipy     : 1.10.1\n",
       "matplotlib: 3.7.5\n",
+      "krotov    : 1.3.0\n",
+      "numpy     : 1.24.4\n",
       "\n"
      ]
     }
@@ -123,10 +123,10 @@
      "start_time": "2019-07-14T20:35:02.380331Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.725504Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.725247Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.729949Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.729241Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.682891Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.682662Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.686515Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.685952Z"
     }
    },
    "outputs": [],
@@ -158,10 +158,10 @@
      "start_time": "2019-07-14T20:35:02.389898Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.732372Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.732148Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.735517Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.734987Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.688481Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.688335Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.691208Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.690793Z"
     }
    },
    "outputs": [],
@@ -188,10 +188,10 @@
      "start_time": "2019-07-14T20:35:02.399999Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.738388Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.738191Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.741495Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.740936Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.693184Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.693040Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.695372Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.695003Z"
     },
     "lines_to_next_cell": 2
    },
@@ -214,10 +214,10 @@
      "n": "10"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.744460Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.743868Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.748216Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.747781Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.697366Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.697145Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.700210Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.699654Z"
     }
    },
    "outputs": [],
@@ -246,10 +246,10 @@
      "n": "11"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.750294Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.750071Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.937333Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.936729Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.702077Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.701934Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.839686Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.839088Z"
     }
    },
    "outputs": [
@@ -295,10 +295,10 @@
      "start_time": "2019-07-14T20:35:02.631007Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.939963Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.939702Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.945005Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.944333Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.841887Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.841730Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.846200Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.845750Z"
     }
    },
    "outputs": [
@@ -344,10 +344,10 @@
      "start_time": "2019-07-14T20:35:02.642363Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.947330Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.947091Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.950925Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.950375Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.848173Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.848029Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.850815Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.850363Z"
     },
     "lines_to_next_cell": 2
    },
@@ -381,10 +381,10 @@
      "start_time": "2019-07-14T20:35:02.651951Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.953518Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.953172Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.957151Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.956456Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.852963Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.852701Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.855192Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.854803Z"
     },
     "lines_to_next_cell": 0
    },
@@ -429,10 +429,10 @@
      "start_time": "2019-07-14T20:35:02.658095Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.959910Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.959579Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.965052Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.964485Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.857281Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.857137Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.860434Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.859883Z"
     }
    },
    "outputs": [],
@@ -455,10 +455,10 @@
      "n": "12"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.967702Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.967421Z",
-     "iopub.status.idle": "2024-06-01T16:24:24.081395Z",
-     "shell.execute_reply": "2024-06-01T16:24:24.080720Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.862394Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.862192Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.921201Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.920671Z"
     }
    },
    "outputs": [],
@@ -489,10 +489,10 @@
      "n": "13"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:24.084853Z",
-     "iopub.status.busy": "2024-06-01T16:24:24.084446Z",
-     "iopub.status.idle": "2024-06-01T16:24:24.089193Z",
-     "shell.execute_reply": "2024-06-01T16:24:24.088492Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.923206Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.923060Z",
+     "iopub.status.idle": "2024-06-03T10:28:56.926296Z",
+     "shell.execute_reply": "2024-06-03T10:28:56.925804Z"
     }
    },
    "outputs": [],
@@ -521,10 +521,10 @@
      "n": "14"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:24.091509Z",
-     "iopub.status.busy": "2024-06-01T16:24:24.091322Z",
-     "iopub.status.idle": "2024-06-01T16:24:24.242762Z",
-     "shell.execute_reply": "2024-06-01T16:24:24.242079Z"
+     "iopub.execute_input": "2024-06-03T10:28:56.928214Z",
+     "iopub.status.busy": "2024-06-03T10:28:56.928070Z",
+     "iopub.status.idle": "2024-06-03T10:28:57.034270Z",
+     "shell.execute_reply": "2024-06-03T10:28:57.033676Z"
     }
    },
    "outputs": [
@@ -600,10 +600,10 @@
      "n": "15"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:24.245335Z",
-     "iopub.status.busy": "2024-06-01T16:24:24.245093Z",
-     "iopub.status.idle": "2024-06-01T16:24:58.419320Z",
-     "shell.execute_reply": "2024-06-01T16:24:58.418739Z"
+     "iopub.execute_input": "2024-06-03T10:28:57.036409Z",
+     "iopub.status.busy": "2024-06-03T10:28:57.036253Z",
+     "iopub.status.idle": "2024-06-03T10:29:28.428987Z",
+     "shell.execute_reply": "2024-06-03T10:29:28.428497Z"
     }
    },
    "outputs": [
@@ -772,10 +772,10 @@
      "n": "16"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:58.421706Z",
-     "iopub.status.busy": "2024-06-01T16:24:58.421499Z",
-     "iopub.status.idle": "2024-06-01T16:24:58.425365Z",
-     "shell.execute_reply": "2024-06-01T16:24:58.424859Z"
+     "iopub.execute_input": "2024-06-03T10:29:28.431053Z",
+     "iopub.status.busy": "2024-06-03T10:29:28.430862Z",
+     "iopub.status.idle": "2024-06-03T10:29:28.434488Z",
+     "shell.execute_reply": "2024-06-03T10:29:28.434023Z"
     }
    },
    "outputs": [
@@ -784,11 +784,11 @@
       "text/plain": [
        "Krotov Optimization Result\n",
        "--------------------------\n",
-       "- Started at 2024-06-01 18:24:24\n",
+       "- Started at 2024-06-03 12:28:57\n",
        "- Number of objectives: 1\n",
        "- Number of iterations: 18\n",
        "- Reason for termination: Reached convergence: J_T < 1e-3\n",
-       "- Ended at 2024-06-01 18:24:58 (0:00:34)"
+       "- Ended at 2024-06-03 12:29:28 (0:00:31)"
       ]
      },
      "execution_count": 15,
@@ -831,10 +831,10 @@
      "n": "18"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:58.427718Z",
-     "iopub.status.busy": "2024-06-01T16:24:58.427537Z",
-     "iopub.status.idle": "2024-06-01T16:24:58.457429Z",
-     "shell.execute_reply": "2024-06-01T16:24:58.456790Z"
+     "iopub.execute_input": "2024-06-03T10:29:28.436510Z",
+     "iopub.status.busy": "2024-06-03T10:29:28.436335Z",
+     "iopub.status.idle": "2024-06-03T10:29:28.464276Z",
+     "shell.execute_reply": "2024-06-03T10:29:28.463660Z"
     }
    },
    "outputs": [],
@@ -857,10 +857,10 @@
      "n": "19"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:58.459928Z",
-     "iopub.status.busy": "2024-06-01T16:24:58.459589Z",
-     "iopub.status.idle": "2024-06-01T16:24:58.604746Z",
-     "shell.execute_reply": "2024-06-01T16:24:58.604092Z"
+     "iopub.execute_input": "2024-06-03T10:29:28.466530Z",
+     "iopub.status.busy": "2024-06-03T10:29:28.466134Z",
+     "iopub.status.idle": "2024-06-03T10:29:28.604413Z",
+     "shell.execute_reply": "2024-06-03T10:29:28.603904Z"
     }
    },
    "outputs": [
@@ -891,10 +891,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:58.607198Z",
-     "iopub.status.busy": "2024-06-01T16:24:58.606987Z",
-     "iopub.status.idle": "2024-06-01T16:24:58.614214Z",
-     "shell.execute_reply": "2024-06-01T16:24:58.613635Z"
+     "iopub.execute_input": "2024-06-03T10:29:28.606505Z",
+     "iopub.status.busy": "2024-06-03T10:29:28.606350Z",
+     "iopub.status.idle": "2024-06-03T10:29:28.612791Z",
+     "shell.execute_reply": "2024-06-03T10:29:28.612413Z"
     }
    },
    "outputs": [],
@@ -973,10 +973,10 @@
      "start_time": "2019-07-14T21:07:20.914008Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:58.616384Z",
-     "iopub.status.busy": "2024-06-01T16:24:58.616188Z",
-     "iopub.status.idle": "2024-06-01T16:24:59.468587Z",
-     "shell.execute_reply": "2024-06-01T16:24:59.467916Z"
+     "iopub.execute_input": "2024-06-03T10:29:28.614631Z",
+     "iopub.status.busy": "2024-06-03T10:29:28.614482Z",
+     "iopub.status.idle": "2024-06-03T10:29:29.389014Z",
+     "shell.execute_reply": "2024-06-03T10:29:29.388467Z"
     }
    },
    "outputs": [
diff --git a/docs/notebooks/02_example_lambda_system_rwa_complex_pulse.ipynb b/docs/notebooks/02_example_lambda_system_rwa_complex_pulse.ipynb
index f48101aa..35c2a4e9 100644
--- a/docs/notebooks/02_example_lambda_system_rwa_complex_pulse.ipynb
+++ b/docs/notebooks/02_example_lambda_system_rwa_complex_pulse.ipynb
@@ -12,10 +12,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:27.901064Z",
-     "iopub.status.busy": "2024-06-01T16:24:27.900886Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.502214Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.501599Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.234562Z",
+     "iopub.status.busy": "2024-06-03T10:32:14.234410Z",
+     "iopub.status.idle": "2024-06-03T10:32:14.737411Z",
+     "shell.execute_reply": "2024-06-03T10:32:14.736828Z"
     }
    },
    "outputs": [
@@ -27,11 +27,11 @@
       "Python version       : 3.8.16\n",
       "IPython version      : 8.12.3\n",
       "\n",
-      "qutip     : 4.7.6\n",
+      "krotov    : 1.3.0\n",
       "scipy     : 1.10.1\n",
       "matplotlib: 3.7.5\n",
-      "krotov    : 1.2.1+dev\n",
       "numpy     : 1.24.4\n",
+      "qutip     : 4.7.6\n",
       "\n"
      ]
     }
@@ -267,10 +267,10 @@
      "n": "6"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.530253Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.529927Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.534828Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.534196Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.763940Z",
+     "iopub.status.busy": "2024-06-03T10:32:14.763603Z",
+     "iopub.status.idle": "2024-06-03T10:32:14.767750Z",
+     "shell.execute_reply": "2024-06-03T10:32:14.767233Z"
     }
    },
    "outputs": [],
@@ -309,10 +309,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.537043Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.536830Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.542997Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.542441Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.769643Z",
+     "iopub.status.busy": "2024-06-03T10:32:14.769495Z",
+     "iopub.status.idle": "2024-06-03T10:32:14.774715Z",
+     "shell.execute_reply": "2024-06-03T10:32:14.774217Z"
     }
    },
    "outputs": [],
@@ -346,10 +346,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.545058Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.544855Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.549710Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.549184Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.776668Z",
+     "iopub.status.busy": "2024-06-03T10:32:14.776335Z",
+     "iopub.status.idle": "2024-06-03T10:32:14.780392Z",
+     "shell.execute_reply": "2024-06-03T10:32:14.779969Z"
     }
    },
    "outputs": [],
@@ -376,10 +376,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.551926Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.551678Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.555603Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.555200Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.782260Z",
+     "iopub.status.busy": "2024-06-03T10:32:14.782114Z",
+     "iopub.status.idle": "2024-06-03T10:32:14.785703Z",
+     "shell.execute_reply": "2024-06-03T10:32:14.785203Z"
     }
    },
    "outputs": [],
@@ -409,10 +409,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.557937Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.557612Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.560977Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.560166Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.787521Z",
+     "iopub.status.busy": "2024-06-03T10:32:14.787374Z",
+     "iopub.status.idle": "2024-06-03T10:32:14.790048Z",
+     "shell.execute_reply": "2024-06-03T10:32:14.789547Z"
     }
    },
    "outputs": [],
@@ -426,10 +426,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.563112Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.562926Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.565937Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.565500Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.791868Z",
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+     "shell.execute_reply": "2024-06-03T10:32:14.793725Z"
     }
    },
    "outputs": [],
@@ -458,10 +458,10 @@
      "n": "5"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.567996Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.567832Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.573693Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.573251Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.795968Z",
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+     "shell.execute_reply": "2024-06-03T10:32:14.800807Z"
     }
    },
    "outputs": [
@@ -509,10 +509,10 @@
      "n": "4"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.575870Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.575671Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.578582Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.578031Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.803094Z",
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+     "shell.execute_reply": "2024-06-03T10:32:14.805083Z"
     }
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    "outputs": [],
@@ -541,10 +541,10 @@
      "n": "10"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.580723Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.580566Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.584102Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.583577Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.807345Z",
+     "iopub.status.busy": "2024-06-03T10:32:14.807170Z",
+     "iopub.status.idle": "2024-06-03T10:32:14.810290Z",
+     "shell.execute_reply": "2024-06-03T10:32:14.809793Z"
     }
    },
    "outputs": [],
@@ -573,10 +573,10 @@
      "n": "11"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.586108Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.585951Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.859495Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.858908Z"
+     "iopub.execute_input": "2024-06-03T10:32:14.812103Z",
+     "iopub.status.busy": "2024-06-03T10:32:14.811957Z",
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+     "shell.execute_reply": "2024-06-03T10:32:15.044695Z"
     }
    },
    "outputs": [
@@ -627,10 +627,10 @@
      "n": "12"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.862287Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.862080Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.865635Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.865078Z"
+     "iopub.execute_input": "2024-06-03T10:32:15.047348Z",
+     "iopub.status.busy": "2024-06-03T10:32:15.047190Z",
+     "iopub.status.idle": "2024-06-03T10:32:15.050451Z",
+     "shell.execute_reply": "2024-06-03T10:32:15.049922Z"
     }
    },
    "outputs": [],
@@ -661,10 +661,10 @@
      "n": "3"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.867701Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.867526Z",
-     "iopub.status.idle": "2024-06-01T16:24:28.871307Z",
-     "shell.execute_reply": "2024-06-01T16:24:28.870705Z"
+     "iopub.execute_input": "2024-06-03T10:32:15.052462Z",
+     "iopub.status.busy": "2024-06-03T10:32:15.052313Z",
+     "iopub.status.idle": "2024-06-03T10:32:15.055616Z",
+     "shell.execute_reply": "2024-06-03T10:32:15.055234Z"
     }
    },
    "outputs": [],
@@ -688,10 +688,10 @@
      "n": "13"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:28.873585Z",
-     "iopub.status.busy": "2024-06-01T16:24:28.873416Z",
-     "iopub.status.idle": "2024-06-01T16:24:29.213949Z",
-     "shell.execute_reply": "2024-06-01T16:24:29.213292Z"
+     "iopub.execute_input": "2024-06-03T10:32:15.057681Z",
+     "iopub.status.busy": "2024-06-03T10:32:15.057509Z",
+     "iopub.status.idle": "2024-06-03T10:32:15.371749Z",
+     "shell.execute_reply": "2024-06-03T10:32:15.371256Z"
     }
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    "outputs": [],
@@ -713,10 +713,10 @@
      "n": "14"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:29.216188Z",
-     "iopub.status.busy": "2024-06-01T16:24:29.215751Z",
-     "iopub.status.idle": "2024-06-01T16:24:29.219870Z",
-     "shell.execute_reply": "2024-06-01T16:24:29.219257Z"
+     "iopub.execute_input": "2024-06-03T10:32:15.373831Z",
+     "iopub.status.busy": "2024-06-03T10:32:15.373681Z",
+     "iopub.status.idle": "2024-06-03T10:32:15.377295Z",
+     "shell.execute_reply": "2024-06-03T10:32:15.376808Z"
     }
    },
    "outputs": [],
@@ -746,10 +746,10 @@
      "n": "15"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:29.221955Z",
-     "iopub.status.busy": "2024-06-01T16:24:29.221770Z",
-     "iopub.status.idle": "2024-06-01T16:24:29.349169Z",
-     "shell.execute_reply": "2024-06-01T16:24:29.348533Z"
+     "iopub.execute_input": "2024-06-03T10:32:15.379336Z",
+     "iopub.status.busy": "2024-06-03T10:32:15.378953Z",
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     }
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    "outputs": [
@@ -799,10 +799,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:29.351707Z",
-     "iopub.status.busy": "2024-06-01T16:24:29.351491Z",
-     "iopub.status.idle": "2024-06-01T16:24:29.354682Z",
-     "shell.execute_reply": "2024-06-01T16:24:29.354261Z"
+     "iopub.execute_input": "2024-06-03T10:32:15.499151Z",
+     "iopub.status.busy": "2024-06-03T10:32:15.498995Z",
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     }
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    "outputs": [],
@@ -819,10 +819,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:29.356754Z",
-     "iopub.status.busy": "2024-06-01T16:24:29.356596Z",
-     "iopub.status.idle": "2024-06-01T16:24:29.359688Z",
-     "shell.execute_reply": "2024-06-01T16:24:29.359280Z"
+     "iopub.execute_input": "2024-06-03T10:32:15.503663Z",
+     "iopub.status.busy": "2024-06-03T10:32:15.503443Z",
+     "iopub.status.idle": "2024-06-03T10:32:15.506400Z",
+     "shell.execute_reply": "2024-06-03T10:32:15.505904Z"
     }
    },
    "outputs": [],
@@ -856,10 +856,10 @@
      "n": "16"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:29.361846Z",
-     "iopub.status.busy": "2024-06-01T16:24:29.361658Z",
-     "iopub.status.idle": "2024-06-01T16:25:01.053313Z",
-     "shell.execute_reply": "2024-06-01T16:25:01.052842Z"
+     "iopub.execute_input": "2024-06-03T10:32:15.508319Z",
+     "iopub.status.busy": "2024-06-03T10:32:15.508173Z",
+     "iopub.status.idle": "2024-06-03T10:32:45.112419Z",
+     "shell.execute_reply": "2024-06-03T10:32:45.111851Z"
     }
    },
    "outputs": [
@@ -987,10 +987,10 @@
      "n": "17"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:01.055585Z",
-     "iopub.status.busy": "2024-06-01T16:25:01.055409Z",
-     "iopub.status.idle": "2024-06-01T16:25:01.059233Z",
-     "shell.execute_reply": "2024-06-01T16:25:01.058788Z"
+     "iopub.execute_input": "2024-06-03T10:32:45.114577Z",
+     "iopub.status.busy": "2024-06-03T10:32:45.114397Z",
+     "iopub.status.idle": "2024-06-03T10:32:45.118223Z",
+     "shell.execute_reply": "2024-06-03T10:32:45.117659Z"
     }
    },
    "outputs": [
@@ -999,11 +999,11 @@
       "text/plain": [
        "Krotov Optimization Result\n",
        "--------------------------\n",
-       "- Started at 2024-06-01 18:24:29\n",
+       "- Started at 2024-06-03 12:32:15\n",
        "- Number of objectives: 1\n",
        "- Number of iterations: 12\n",
        "- Reason for termination: Reached convergence: J_T < 0.001\n",
-       "- Ended at 2024-06-01 18:25:01 (0:00:32)"
+       "- Ended at 2024-06-03 12:32:45 (0:00:30)"
       ]
      },
      "execution_count": 20,
@@ -1028,10 +1028,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:01.061686Z",
-     "iopub.status.busy": "2024-06-01T16:25:01.061189Z",
-     "iopub.status.idle": "2024-06-01T16:25:01.064171Z",
-     "shell.execute_reply": "2024-06-01T16:25:01.063700Z"
+     "iopub.execute_input": "2024-06-03T10:32:45.120239Z",
+     "iopub.status.busy": "2024-06-03T10:32:45.119937Z",
+     "iopub.status.idle": "2024-06-03T10:32:45.122575Z",
+     "shell.execute_reply": "2024-06-03T10:32:45.122206Z"
     }
    },
    "outputs": [],
@@ -1057,10 +1057,10 @@
      "n": "18"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:01.066220Z",
-     "iopub.status.busy": "2024-06-01T16:25:01.066029Z",
-     "iopub.status.idle": "2024-06-01T16:25:01.452527Z",
-     "shell.execute_reply": "2024-06-01T16:25:01.451897Z"
+     "iopub.execute_input": "2024-06-03T10:32:45.124539Z",
+     "iopub.status.busy": "2024-06-03T10:32:45.124370Z",
+     "iopub.status.idle": "2024-06-03T10:32:45.483149Z",
+     "shell.execute_reply": "2024-06-03T10:32:45.482639Z"
     }
    },
    "outputs": [
@@ -1134,10 +1134,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:01.454768Z",
-     "iopub.status.busy": "2024-06-01T16:25:01.454574Z",
-     "iopub.status.idle": "2024-06-01T16:25:02.197181Z",
-     "shell.execute_reply": "2024-06-01T16:25:02.196570Z"
+     "iopub.execute_input": "2024-06-03T10:32:45.485258Z",
+     "iopub.status.busy": "2024-06-03T10:32:45.485074Z",
+     "iopub.status.idle": "2024-06-03T10:32:46.190606Z",
+     "shell.execute_reply": "2024-06-03T10:32:46.190081Z"
     }
    },
    "outputs": [
@@ -1148,9 +1148,37 @@
       "Physical electric pump pulse in the lab frame:\n"
      ]
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmtt10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmb10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmss10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['DejaVu Sans Display'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1167,7 +1195,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1224,10 +1252,10 @@
      "n": "19"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:02.199443Z",
-     "iopub.status.busy": "2024-06-01T16:25:02.199243Z",
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-     "shell.execute_reply": "2024-06-01T16:25:02.237647Z"
+     "iopub.execute_input": "2024-06-03T10:32:46.192581Z",
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+     "shell.execute_reply": "2024-06-03T10:32:46.227008Z"
     }
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    "outputs": [],
@@ -1250,10 +1278,10 @@
      "n": "20"
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     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:02.240288Z",
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    "outputs": [
diff --git a/docs/notebooks/03_example_lambda_system_rwa_non_hermitian.ipynb b/docs/notebooks/03_example_lambda_system_rwa_non_hermitian.ipynb
index 4419ac4e..c36b9556 100644
--- a/docs/notebooks/03_example_lambda_system_rwa_non_hermitian.ipynb
+++ b/docs/notebooks/03_example_lambda_system_rwa_non_hermitian.ipynb
@@ -21,10 +21,10 @@
      "n": "1"
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     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.293251Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.292652Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.986736Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.986261Z"
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    "outputs": [
@@ -36,11 +36,11 @@
       "Python version       : 3.8.16\n",
       "IPython version      : 8.12.3\n",
       "\n",
+      "krotov    : 1.3.0\n",
+      "qutip     : 4.7.6\n",
       "matplotlib: 3.7.5\n",
-      "scipy     : 1.10.1\n",
       "numpy     : 1.24.4\n",
-      "qutip     : 4.7.6\n",
-      "krotov    : 1.2.1+dev\n",
+      "scipy     : 1.10.1\n",
       "\n"
      ]
     }
@@ -217,10 +217,10 @@
      "start_time": "2019-11-10T17:36:51.300148Z"
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     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:24.022855Z",
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-     "shell.execute_reply": "2024-06-01T16:24:24.028566Z"
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    "outputs": [],
@@ -273,10 +273,10 @@
      "start_time": "2019-11-10T17:36:51.319722Z"
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    "outputs": [],
@@ -322,10 +322,10 @@
      "start_time": "2019-11-10T17:36:51.337196Z"
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@@ -366,10 +366,10 @@
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@@ -399,10 +399,10 @@
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@@ -445,10 +445,10 @@
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@@ -479,10 +479,10 @@
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@@ -521,10 +521,10 @@
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@@ -549,10 +549,10 @@
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@@ -581,10 +581,10 @@
      "start_time": "2019-11-10T17:36:54.723039Z"
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-     "iopub.execute_input": "2024-06-01T16:24:26.625502Z",
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@@ -628,10 +628,10 @@
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@@ -684,10 +684,10 @@
      "start_time": "2019-11-10T17:36:55.327833Z"
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@@ -710,10 +710,10 @@
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@@ -758,10 +758,10 @@
      "start_time": "2019-11-10T17:36:55.351667Z"
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@@ -781,10 +781,10 @@
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@@ -1107,10 +1107,10 @@
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@@ -1192,10 +1192,10 @@
      "n": "18"
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-     "iopub.execute_input": "2024-06-01T16:26:11.559928Z",
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@@ -1220,10 +1220,10 @@
      "n": "19"
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@@ -1275,10 +1275,10 @@
      "start_time": "2019-11-10T17:39:10.406834Z"
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     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:14.147809Z",
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@@ -1312,10 +1312,10 @@
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@@ -1345,10 +1345,10 @@
      "n": "22"
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-     "iopub.execute_input": "2024-06-01T16:26:14.161790Z",
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@@ -1382,14 +1382,42 @@
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+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmss10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['DejaVu Sans Display'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
     {
      "data": {
       "image/png": 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",
@@ -1428,10 +1456,10 @@
      "n": "25"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:14.832641Z",
-     "iopub.status.busy": "2024-06-01T16:26:14.832480Z",
-     "iopub.status.idle": "2024-06-01T16:26:15.217272Z",
-     "shell.execute_reply": "2024-06-01T16:26:15.216720Z"
+     "iopub.execute_input": "2024-06-03T10:32:03.524726Z",
+     "iopub.status.busy": "2024-06-03T10:32:03.524287Z",
+     "iopub.status.idle": "2024-06-03T10:32:03.880818Z",
+     "shell.execute_reply": "2024-06-03T10:32:03.880259Z"
     }
    },
    "outputs": [
@@ -1488,10 +1516,10 @@
      "start_time": "2019-11-10T17:39:11.633126Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:15.219381Z",
-     "iopub.status.busy": "2024-06-01T16:26:15.219213Z",
-     "iopub.status.idle": "2024-06-01T16:26:17.590205Z",
-     "shell.execute_reply": "2024-06-01T16:26:17.589642Z"
+     "iopub.execute_input": "2024-06-03T10:32:03.882753Z",
+     "iopub.status.busy": "2024-06-03T10:32:03.882595Z",
+     "iopub.status.idle": "2024-06-03T10:32:06.052386Z",
+     "shell.execute_reply": "2024-06-03T10:32:06.050825Z"
     },
     "lines_to_next_cell": 2
    },
@@ -1517,10 +1545,10 @@
      "n": "26"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:17.592513Z",
-     "iopub.status.busy": "2024-06-01T16:26:17.592349Z",
-     "iopub.status.idle": "2024-06-01T16:26:17.820600Z",
-     "shell.execute_reply": "2024-06-01T16:26:17.820027Z"
+     "iopub.execute_input": "2024-06-03T10:32:06.058093Z",
+     "iopub.status.busy": "2024-06-03T10:32:06.057700Z",
+     "iopub.status.idle": "2024-06-03T10:32:06.280643Z",
+     "shell.execute_reply": "2024-06-03T10:32:06.280081Z"
     }
    },
    "outputs": [
@@ -1571,10 +1599,10 @@
      "start_time": "2019-11-10T17:39:14.994569Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:17.822845Z",
-     "iopub.status.busy": "2024-06-01T16:26:17.822664Z",
-     "iopub.status.idle": "2024-06-01T16:26:18.068447Z",
-     "shell.execute_reply": "2024-06-01T16:26:18.067881Z"
+     "iopub.execute_input": "2024-06-03T10:32:06.282827Z",
+     "iopub.status.busy": "2024-06-03T10:32:06.282663Z",
+     "iopub.status.idle": "2024-06-03T10:32:06.507575Z",
+     "shell.execute_reply": "2024-06-03T10:32:06.507040Z"
     }
    },
    "outputs": [
@@ -1587,7 +1615,7 @@
     },
     {
      "data": {
-      "image/png": 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6E2xUGCICJICo8TBGBJvYWH13eSeOswm2YhMRoc+MYneU6zDYENlJ04BNm+Tcl9WzO3SQ47ZtnBlFumPH9C4jI2ZFeTzOnvIdbMUG4JRvF2OwIbJTfj5QUCBvJO3b13//Nm2AqChZw4MldFJUN1RCgl5pCZaTp3yrYNOiReDPwYqNazHYENlp61Y5tmkj2ybUJypK7gsA27eb1SoKNUYuzqc4uWJz6JAcU1ICf45zz5Xj/v3Bt4cchcGGyE7btsnRl2qNkpkpRwYbUoxcnE9xasVG04DDh+U8KSnw52GwcS0GGyI7BRNsduwwvj0UmoycEaWoYFNQYNxzGqGwECgvl3MGG6oBgw2RnVSwOf983x9z3nlyZMWGFDOCTUKCHJ0WbFQ3VOPGMnsrUAw2rsVgQ2QnNcaGFRsKhhnBJjFRjoWFxj2nEYzohgL0YJOXJ9PlyTUYbIjsUl4O7Nwp54EGG075JiC8KjZGBZsWLWQ9m4oK4ODB4NtFjsFgQ2SXPXtkOfeGDfWpp75IT9enfLOMTgArNoGIitIX+OP/I1dhsCGyixpfk5kpnxx9FRUFtG0r5+yOIsDcio1Tg01ycvDPxXE2rsRgQ2SXQGZEKZzyTVWZWbFxWleUGjwcbMUGYLBxKQYbIruogcP+zIhSODOKqjJjgT6nV2wYbKgWDDZEdqnaFeUvzoyiqsxYoM/tg4cBBhuXYrAhsktOjhwzMvx/rNpWYc8eo1pDoerkSbkB4TV4mGNsqBYMNkR28Hr1XYXT0/1/vHoMgw2pak1UlF5lMULVrignLSvAig3Vg8GGyA55ecCpU0BkpP7i6g8VbI4eBYqLjW0bhZaq3VAej3HPqyo2mgaUlBj3vMHi4GGqB4MNkR1UpaVVK/mk7a+EBH0vH1ZtwpsZM6IAWV9J/W46pTuqvFzflNPIYFNUJDdyBQYbIjuoMBJIN5TC7igCzAs2Ho/zpnyr2V8ejzEDpePj5QawauMiDDZEdjAi2LRuXf25KDyZFWwA5035VuNrmjYNrNJZE3ZHuQ6DDZEd1IwoIyo2e/cG3RwKYWYGG6dVbIwcOKww2LgOgw2RHdgVRUYxY3E+xWkVGyMHDisMNq7DYENkBwYbMooZi/MpTlukjxUb8gGDDZHVNI3BhoxjRVeUUyo2Ri7OpzDYuA6DDZHVjh7V1wVRA4ADoYJNbq6siUPhyYrBw6zYUAhhsCGymqqwtGgha4UEKiUFiImRCtCvvxrTNgo94VixMfLvymDjOgw2RFYzohsKkLU8VMWHM6PCVzhN9zZjoLQKNnl5sgAghbyQCjZTpkxBz549ER8fj5SUFAwbNgxbt261u1lE/lHBRm1kGQyOswlvXq++Em84TPdWwcbIgdItWsjWJl4vcPCgcc9LtgmpYLNo0SKMHz8ey5Ytw7x583D69GkMHjwYJU7ax4SoPkZVbKo+B4NNeDp+XN+gMhwqNirENW1q3HNGRgKpqXLO7ihXMGjpRmvMnTu32p9nzpyJlJQUrF69Gv369bOpVUR+MmJxPqVVKznyBTk8qW6ouDggOtr453fa4GEzKjYA0LKljFPLzTX2eckWIRVszlTw3/9szer4JS8rK0NZWVnlnwud8smDwpeRFRsVbDh4ODyZuTgf4KzBw5pmXrDhAGJXCamuqKq8Xi8eeOAB9OnTBxdeeGGt95syZQoSExMrb2lpaRa2kqgGRgYbviCHNzMX5wOcVbEpLgYqKuTcyK4oQCo2AP8fuUTIBpvx48dj48aNmDVrVp33mzRpEgoKCipv+/bts6iFRDUoLtY/dbJiQ8Eyc0YU4KyKjfp/ExMDxMYa+9zqAwK7olwhJLuiJkyYgK+++gqLFy9GK/XCXouYmBjExMRY1DKieqhqTZMm+qfhYKgX5CNHgNLS4NbFodBjdrBRv6MlJVItiYw05zq+qNoN5fEY+9ys2LhKSFVsNE3DhAkTMGfOHCxcuBBt27a1u0lE/jGyGwqQkrz69MoX5fBjVbAB7K/aqBlRZnS7sWLjKiEVbMaPH4/33nsPH3zwAeLj45GXl4e8vDycPHnS7qYR+cboYOPxcJxNODM72ERH61VAu4ONqtgYPb4G4P8hlwmpYPPKK6+goKAA/fv3R2pqauXto48+srtpRL4xcnE+hVO+w5fZwQZwziJ9Zs2IAvSuqIICfR83ClkhNcZG0zS7m0AUHKMrNoD+aZMDiMOPFcEmIUFW5LW7YmNmV1RCAtC4sYSa3FwgM9P4a5BlQqpiQxTyzAw2rNiEH6uCDeCcio0ZXVEeDwcQuwiDDZGVjFx1WOGU7/Bl9gJ9gHOmfJvZFQVwALGLMNgQWaWsDDhwQM5ZsSEjmL1AH+Cc/aKsCjb8fxTyGGyIrKIWh4yNBZKSjHteVmzCU1mZPtA1HAYPm7EBZlXsinINBhsiq1QdX2PkAmPqk+aBA/qS8+R+qloTEaGHDzOEW8WGXVEhj8GGyCpmDBwGgHPOkRVhKyqA/HxjnzvcfPcd0KePrAzdpw+weLHdLapd1W6oCBNfyp1SsTE72LBi4xoMNkRWMSvYREZKuAHYHRWM6dOBIUOAn3+WN/GffwYGDAA++8zultXMihlRgHMqNmZ3RbFi4xoMNkRWMSvYAFykL1hffgncf7+c/+EPwIoVwG9/C3i9wOjRwM6d9ravJlYHGzsrNqdOyQaygDVdUVwzLaQx2BBZxYxVh5VQWaSvqAiYPRv4+GPg8GG7WyPy84Hf/17Ox48HXnkF6NkTePddqdicPKmHHidRwcbIgeg1ccJ0b1Wt8XjMG0+UmirHU6ec87tJAWGwIbKKmRWbUJiqOneu/N1vugm45RagdWvg5ZftbhXwxBMSErKygOee0wd2R0VJyGnQAPjPf4Dly+1t55nCqStKBZsmTczbYTw6GkhOlnN2R4U0BhsiK1RU6NO9zeyKcmrF5qefgGuvlTeo9HSgY0ephEyYADzzjH3t2r4dePVVOX/hBSAmpvr3zz8fGDVKzqdOtbRp9VJVBbODjRMGD5u56nBVHEDsCgw2RFbIzQXKy6UKoEreRnJyxaa4WMarlJcDN94IbNsGbNwI/P3v8v1Jk4Cvv7anbY8+Ku266irpdqrJww/Lcc4cIC/PurbVJ5wqNmbPiFI4gNgVGGyIrKC6odLSzCmlO3nw8NSpUklq2xZ4+20p+Xs8wJ//LGNaAOCOO/TuBqts3Qp88om0pa6qUadOwG9+IwOJP/jAuvbVx6pg44SKjZkbYFbl5A8I5DMGGyIrmDm+Bqg+eNhJMzqOHwf+8Q85/9//BeLiqn9/6lTp7snLA6ZMsbZt//ynHK+9VsbX1OW22+T43nvmtskfVldsysrkZgd2RZEfGGyIrGBVsDlxwv6F1Kp64w3pirrwQmD48LO/HxsLPP+8nE+fDuzda027TpwAZs6U83vuqf/+I0bIInhr1+r/lnazKtjEx+vndnVHHT8uR7ODDbuiXIHBhsgKZgeb2Fi9TO+UAcSaBvzf/8n5Aw/Uvo3ElVcC/ftLNeCxx6xp26xZ8maZkQEMHlz//ZOSZCViQNa8cQKrpntHRuqVNruDjZlbRwCs2LgEgw2FllOnZA2Uu+4Chg2TT9tff+2s7peamB1sAOeND/j5Z2DXLnlTHDmy9vt5PNJNBQDvvCNjX8ymAtfdd/u+HcH118vx3/82p03+qKjQx52YXbEB9O6ooiLzr1UTFWyaNDH3Ok77P0QBYbCh0LFgAdC+vayB8vrrwBdfyDiJq68GLrkE2L3b7hbWzszF+RSnvSir8SjDhwONGtV93549ZayLpuljcsyyciWwerVM7b79dt8fN3SoHJcsAUpLzWmbr44fl8HMgPkDagG9O8quio3qXrUq2Bw6JB+iKCQx2JDzeb3AxInA5ZdLQEhNBR55RD51T5gANG4MLFsGXHyxTCN2Gk0Lv4qN1yvTowHgd7/z7TF/+pMc337b3GnVqlpz883+deNccIH87pWWSjXKTqobKj5eZpmZze4p31ZVbJo3lwUZAeDAAXOvRaZhsCFnq6gA7rwTePZZ+fPddwM7dkjXxT33AC+9BGzeDHTrJguWDR7srLVGAPn0d/KkdLmkpZl3HScFm+XLgYMH5Q2xf3/fHtOnj0yrLiuTf1czHD0q42sA4I9/9O+xHo+EawCYN8/YdvnLqoHDSrgEm4gIfZwNBxCHLAYbci5NA8aNA956S15w3n1Xlrg/s1sjLQ2YP19Wsz1wQFaKVWV6J1DVmtRUcz9dOynYqAG2Q4f6/nf2ePSqzSuvACUlxrdr5kypuHTtCvTq5f/jBw6U45IlRrbKfww25uEA4pDHYEPO9fTTEmoiI2VhtNGja79v06ayuWKjRsDChTLN2Cms6IYCnBVsVEXj6qv9e9x11wHt2snA2HffNbZNXq8EJkCqNbXN0qpL795yXLXK3jEYVs2IUsIp2Djp/9GZNE0Gr193ney11qYNcMMN8trnpA9zNmOwIWeaPRv4y1/kfMYMGTBcnwsuAJ56Ss4nTtRfDO0WbsHm+HFZ7wXQKxy+iowE7rtPzl980dgX6wULpBszIcH3cT9nat9eBuuWlQHr1hnXNn/ZVbGxY1aU16sPHjZ7ujfg3LVsiopkIP5110m42bdPXls+/1w2lu3Vy5oZhSGAwYacJycH+P3v5fy++2Rcja/uvVe6pI4e1acQ283qYJOfD5w+be616rJ4sbwZtW+vl/X9cfvt8ka6ZQvw3XfGtUsNGh4zRgacB8LjkXFAALB0qTHtCoTVwcbOWVHFxXrADdeuqBMnpFt3zhwZ3PynP8nGsosXy15rCQlSRezWzVmrY9uEwYacpbxcupwKC+UN5Lnn/Ht8VJR0YQHAyy/bu3GfYlWwSUpyxoyOhQvl6G+1RomP14PtCy8Y0iT8+qs+7sefoFyTcAw2dnZFqWpNdDTQsKH513NK5VPRNPmd/fFHqVgtXiyTKS65BLj0Unm9++UX2cT1xAng1ludtxO9xRhsyFmmTJFPIvHxwPvvS1Dx17XXAh06yIvwv/5lfBv9ZVWw8Xic8Wnz++/lWNtu2b649175+3z7rbxoB+u11+RTf//+UtELhhpns2xZ0M0K2OHDcgyHYFN1fE0g46L8pTaUdcoK3p98IuPNIiOl20kF66rOPVfGtamd6P/0J9lk1ukLl5qEwYacY+lS4G9/k/OXX5bl7gMREQH8z//I+YsvShXITlYFG8D+T5uHDwPr18u5r9O8a5KRoa/0O316cG06fVoWdAR82xeqPhdfLG+wOTn2LS0QThUbKwcOA/qSDE7YULaoSB9z9uijdf+fioyUSo3qgp8yJWzDDYMNOUNhoUzTrqiQ5ffrmgHli9GjgeRk2VRx9mxj2hiIggL9hTkcgs2iRXLs1AlISQnuuR54QI7vvKO/kQdizhwJIOecI9twBCshQTb1BOzrjgqnwcNWBxv1f6i0VK+M2WXGDFkP6rzzJKT44pFH9A8DzzwjEynCLNww2JAz3HuvbImQni6DPIMtOcfG6p/O1ad1O6hqTfPm+kaCZrI72KgVeS+7LPjn6tdP1ps5eTK4f0O1e/hddxm3jpBaA2flSmOez19WT/e2c/Cw1cEmJkYP5fv2WXPNmhQVAdOmyfnkydIuX917r77I5f/+L/D//l9YhZuAgs38+fPRp08f9O7dG08++SRO2zkDg0LfrFnyqTwiQkb0G/UCNnasHBcutK+/3MpuKMD+YLNihRwDWfzuTB6PXrWZMSOwmV5Ll8pYmOho/1carstFF8nRjinfmhaeXVFWTPVWVHeUncFmxgyZ3dm+PfDb3/r/+AkT5DkA6aJ65JGwCTcBBZvx48fjT3/6E1566SXk5OTgb2pcBJG/9uzRZ6k8+ijQt69xz922rcwa0DQZiGyHcAo25eWyuSQg41CM8Nvfyqfn/fuBjz7y//GqWjN6NNCihTFtAoAuXeSYnW3cc/rqxAlZRwcIr2BjVcUGsD/YnDql/+7+9a+BTaIAgPHj9WUOnntOBheHQbgJKNg0atQI119/PXr06IHXXnsN8+fPN7pdFA4qKmRqYkGBfML/61+Nv8att8rxnXfs+Q8dTsFm0ybpNkpIkE+ZRoiJ0QdPPvGEfwPBd+7Ux1epyo9RsrLkmJtr/TgMVa2Jjg58PR5/VR1jY/UKt1bt7F1V1QHEdvjyS9ljLjU1sGpNVffco6+4/Y9/AA895PpwE1CwOXToED755BOsX78e5eXlOMXt3a1XXi4DY3/8UQZHvveeTGmdOVOmBP7wg3zacPIv8JQpsudOXJxUVNQaLEYaMULeHH/5RV8N10p2Bhur/+1VN1TPntKtaJT77pPKxPbt/i0+9thj8iZ81VVA587GtQeQMSft2sm51d1RVbuhrJj+DOjBBjBnD6+6hGPFRi1TcfvtgVdrqrr7buDVV+X8+edl1qiT3xuCFNCrz0MPPYS5c+di3LhxSElJwS+//IKbb74ZTz75JD7//HODm3i2l19+GW3atEHDhg3Rq1cvrFAvqG6laTKw9oMPpN+0e3cZHJueLl0tN94olYk//EH+I9xwg6wh0rq17KF09dXyy2xnf/GZliwBHn9czl9+WX+TMFqTJsA118j5p5+ac426WB1s1Do2J09av6WE+n9oVDeUEh8vMzsAWQ7Alw9S69YBH34o53//u7HtUezqjrJ6DRtAPhyoN1iru6PCLdjs2aOvuH3HHcY971136eHmxRflua0OqVbRDLBr1y7tyy+/1J5++mlt1KhRRjxlrWbNmqVFR0drb775prZp0yZt3LhxWpMmTbSDBw/69PiCggINgFZQUGBqO4NSXKxpixdr2rPPatqwYZrWooWmSbypfmvQQNMyMjStd29Nu+IKTbv+ek276ir5c2ampkVFnf2Yyy7TtM8/17Tycvv+fgcPalrLltKe0aM1zes193rvvy/X6tDB3OvURP3brV5t3TWbNZNrbthg3TU1TdOysuS6c+YY/9wlJZp2zjny/M8+W//9hw6V+95yi/FtUZ54Qq5x663mXaMmH34o1+3f39rrqt+rX36x9rqDBsl133/fumv++KNcs00b666pTJ4s1x40yJznf/11TfN45Brnn69p339vznVM4Ov7t1/BZtCgQdrXX3991tcrKir8a10QLr74Ym38+PHVrt2yZUttypQpPj3etGCzdKmm/ec/mjZ/voSS5cs1LTtbXgR27tS0X3/VtEOHNK2wUILLwYOatmuXpi1bpmmffKJpU6fKm3zHjpoWEVFziLn4Yk174AFN++gjTcvJqT+clJVp2qpVmjZtmqb166f/MgOadt55mvbGG9YHnPJyTRs8WNpwwQWaVlRk/jWPHdND3pYt5l9POXFC/3kfOWLddTt3lmvOnWvdNYuL9d/b/fvNucbMmfL8jRpp2vbttd9v9my5X2Skpm3bZk5bNE3TvvhCrpOVZd41ajJjhlx3+HBrr9umjVx32TJrr9u9u1z3P/+x7pp79uivuxa+v2ler7w2mx3k5s3TP1wCmnb55Zo2a5b8P/bHqVOadviwvJetXatpixbJv9O//61p+fmGN9uUYJOYmKj98t+0npOTU/n1V199VRs9enQAzfRPWVmZFhkZqc054xPhbbfdpl133XU1Pqa0tFQrKCiovO3bt8+cYHPllTVXVQK9paZq2o03SuD58UdNO3ky+Dbu3atpEydqWpMm+nU6d9a0b78N/rl99dhjct3YWGsrCipM+fJp3yi//CLXTEgwvypVlfpdfOMN6665ZIlcs2VL867h9UqVAtC0nj1r/j+xd6+mJSfLff78Z/Paomny4QKQ0Fxaau61qvrb3+S6d91l3TU1Ta/Iffedtddt106u++OP1l3z1Ck9qOfmWnfddevkmjEx8iHYTIcPa9of/yjhTb0fREZqWqdOmnbddZo2ZozcRo7UtBtukApSjx6a1r69VE9jY+t+DzPhfcXXYOPXqKRTp04h/r8LNXXu3BnZ2dnIyMjAJZdcgsfVeAkTHT58GBUVFWhxxrTNFi1aYMuWLTU+ZsqUKdZMR8/MlFHsZWUyBqCs7OxbRUX1x8TGSj9569Zy69RJdme96CIZDW+0tDQZsPvoo8A//yljDzZsAIYMkXE606frg0/N8OGHMrMFkFH6avVWKwwbJv3Wn38u+6hYYfduObZta90gT8CemVFqnEn37uZdw+OR2W1ZWbIw3u9+J79TauGyQ4dkPNWhQ7Kwnxmz7Kpq3VrGfRw/DmzeLNe0gtVr2Ch2rT5sxxibBg1kpercXBlnY8brcU3ULL4hQ/RFEc3SvLmMb3z4YVkA86OPgF27ZHbjpk3+PVejRvL7kZgoM/UiI6sPOLeYX8EmMzMTK1asQHx8PEpKSlDw32l48fHxOHr0qCkNDNakSZPw4IMPVv65sLAQaWpgmJF82c+mokICjtcrvwhGzhzxR1yc/DLffjvw1FOyiNNnn8kmas88IyPojW7b4sVyPUCuPWaMsc9fn+uukwXali7Vl9c3W9VgYyU7g40aUGuWtDT5XR0yRGYD9uolq6wWF8sKq7m58m/72Wfm7wTt8chsqyVLgI0b3R9s7Fh9WNPsme4NyO9abq5M+TZ6QHxt1ASHm26y5nqAvD49/bR80N2/Xwbe798PHDsmv+PR0fLhQQWXM4/x8ebMaA2CX8Hm3nvvxbhx49CmTRtkZWXhjTfewIwZM7BkyZKzqihmSEpKQmRkJA4ePFjt6wcPHsQ5tbxRxcTEIMafpajNFBkpgcYpmjeX2VK33y4j5pcvlwWd3n1Xpo4bNUX255+BoUMl1F1/vYQnq517LtCjB7BqlewYbUWwCqdgo6Y8mx1sAJnx9803MpV/3Trgzjv172VmAv/+t3U/806dJNgYsQO5r+yu2FgZbE6c0NcusiPYLF9u3cyozZvl96hBA+Daa625ZlUej+xsrnY3D2F+fSy/88478frrr2PEiBGYP38+tm7dioyMDIwbNw4333yzWW2sFB0dje7du2PBggWVX/N6vViwYAF69+5t+vVdKysL+Okn2VskPl6WoO/WTabYFhcH99zz58s6IiUlwOWXS9dBZKQx7fbXkCFynDvXmuupYNOmjTXXU9SU79xca65XXi5dmoB1VYtBg4CtW6W7acAA+bd9/nmpHJ1/vjVtAIAOHeS4ebN111TTva3aJ0qxI9iobqioKOs/FKrK/t691lxvzhw5DhpkfYhzGb9X/rnxxhsrz7/55hvMmTMHp06dwm+DXR3RRw8++CDGjBmDHj164OKLL8YLL7yAkpIS3K66OSgwkZGyRs6wYbIg2pw5wLPPyoJo06YBt9zi3zgRTZM1EyZMkC64/v2BL76QcUV2GTJEyq3z5kmbzA5Y4VKx2bZNqnFxcUBGhjXXBGT3djVmyy4dO8qRFRtzVB1fY+U4NUD/QKLWojLb11/L8frrrbmeiwU1kCIqKgojRozAqFGjEGnRp/BbbrkF06ZNw2OPPYauXbsiOzsbc+fOtaQrLCy0aiXjE774Qt6k9u8HRo6UPuavvvJtOfU9e2RRwHvukQAxerR0HdjdDfeb38iL85EjwJo15l/P7mCTnx/YxpH+UuNrOne2b9yYXVSw2bFD37/JbHZXbKwcPGzHwGFFBZucHPOvdfSojP8DpMJNQQnJV6EJEyZgz549KCsrw/Lly9HLiJ2EqbrrrpOR8U8+KYFk1Srp983MlE/Jy5dXf9MsKZGxK7fdBpx3ngSZmBjZVfadd8wfyOmLBg2kzAuY3x11/Lj+omx1V1RSkvxdNQ04cMD866nxNVZ1QzlJaqoMoPR6ZcsHs5WW6sEiOdn861Vlx+BhO3b2VqwMNvPmye9Qhw7WrVLuYiEZbMgiDRsCf/mL/Md+5BH5xLZrFzB5slQ/YmJkx+TmzeVF78orZeBxeTkwcKDszfTww9aXkOty5ZVy/PZbc6+jqjXJydJFY6WICH2cjRXdUVbNiHIij0cfZ2NFd9ShQ3Js0MD6N3u7u6KspoLNkSPmV6m++UaOQ4eae50wEXCwOXnyJPbX8KK5yd/57+R8yckylfbAAdlk84Yb5IVG06S74+hROU9Lk/1HVqwAFizQX/CdRA0gXrbM3Bdou7qhFCvH2YRzxQawdpyNCjZJSdZ/YLAj2Ng11RuQv2+zZnJuZtXG69UryOyGMkRAwebTTz9FZmYmrr76amRlZWH58uWV37v11lsNaxw5TKNGMk36s8/kU0xenoxV2bhRzvfskV1pe/a0u6W1S0+XDTcrKmSarlnCJdgcPCg3j8faBRedRAUbK2ZGqWCTkmL+tc4UbhUbwJruqOxs+T/UuDHQt6951wkjAQWbp556CqtXr0Z2djbeeust3HHHHfjggw8AAJqLt0KnKiIipBvqootkLY8WLZzV5VSXAQPk+P335l0jXIKNqtC2bSsvzOHIjq4oq8fXAOEZbNT/XzODzfz5chwwQF9Fm4Li93RvADh9+nTlLKTu3btj8eLFuOGGG7Bjxw54QuXNjcLXwIFSWVq40LxrhFuw6dTJ3Os4marYbN0q48uiAnpZ9Y2dwUYNHg6XWVGAXrFR/5/NoF6HLr/cvGuEmYAqNikpKVi/fn3ln5s1a4Z58+Zh8+bN1b5O5Ej9+8sxO1vGB5lh5045WrmuS1VWB5tw7YYCZM+oRo1kluCuXeZeixUba5ndFXXqlN4lPnCgOdcIQwEFm3fffRcpZ/TxRkdH48MPP8SiRYsMaRiRaVJTpftA0wAzfl/Ly/U3uMxM45/fF6zYWCciQv93NnvKtxOCjdrU1wp2Bxuzu6JWrJBtI5KTw/v/kMECCjatWrWqdW+mKDPLsERGMXOczd698uk9JkZflt1qVYONWePeNI3BRmnfXo7btpl7nfx8OdrZFQVY1x1l5zo2gPkVG9UNNWBA+C1uaSLDf5IjRoww+imJjKfKvmaMs1Gf2tu1s+/FSq1jc/Kk/uZgtLw82QE4IgK44AJzrhEqrAo2dlZsIiP1AeJWdUfZOd0b0BfLO3ZMb4uR1OsPu6EMFVB5pbYNLzVNw1GzxiwQGUmNs9m0SaZaGrklh3pzU292doiNlTU4jh6Vqk3TpsZfQ1Vr2rVzxsrSdgqHYANId1RJifUVG7uCTVyc/KwPHZKqjZGLUJ44oW+jwGBjqICCzfz58/Huu+8i7owVVTVNw+LFiw1pGJGpmjeXF6l164AffpBNPo2iKjZ2ja9RWrbUg40Zg3vZDaWzOtjYsY4NIN1RBw5YU7HRNPuDDSDdUYcOycwoI4PNzz/L4OFWrWQbGjJMQMGmf//+iI+PR79+/c76XlZWVtCNIrLEwIESbBYudGewOfdcWTzRrAHEGzfKkcFGDza//ioVDTPW9Dl1Su8OsbNiA1gTbEpL5e8M2BtsMjKAlSv1mY5GqdoNxWVSDBXQAIDPPvusxlADAPPmzQuqQUSWMWsAsZOCDQDk5prz/KzY6Jo103fbNmtmlNrVOzLSvjd6K4ONqtZERFi/31pVZlXjOL7GNH4Fm3379pnVDiLrXXqpvGhu325cVeP0aX0GhZ1jbABzp3xXnREVzmvYVGV2d1TVfaLsGpRuR7Bp0sTeioYZ/66FhcCqVXKuPmCRYfz635Geno6kpCQMGjQIDz30EN59911s2LABq1evxpgxY8xqI5E5mjSRLSEAGWdjhN27ZR+qxo1lvRw7qWDz66/GP/f+/fLiHBlpf4BzCrODjZ1TvRUVbKwYPGz3VG9FVV6N/HddskReJ9q1kwUeyVB+jbHZvXs31q5di+zsbKxduxYff/wxcv9b5k5Qv/BEoWTAAGD1aumOGjUq+OdT3RDnnWd/v7laQ8eMSquq1mRmcn8bxaqKjZ3BRq1lY0XFxu6p3ooKNrm5QHGxMd1i6oOUmp1JhvIr2KSnpyM9PR3Dhg2r/NrSpUsxZswYPPHEE0a3jch8/fsD06YZV7FxyvgaQF+DY+9e45+b42vOFg7Bxq6uKDup8VOHDwM7dgBduwb/nOr1ht1Qpgi6o7Z379548cUXMW3aNCPaQ2StSy+V7pSdO42pbKg3NScEG1XiPnbM+K4DBpuzqWCzdas5qz0z2NjHyNBaUACsWSPnrNiYwq9gc0pNvTtDZmYmNqkXOqJQkpAAdO8u50bMjnLSFOj4eH1hPqOrNgw2Z1Pdj8ePA0eOGP/8dq9hAzDYGBFsliwBvF758KPGwZGh/Ao2cXFx6Nq1K26//Xa8+OKLWLx4MXbs2IGXXnoJl3PLdQpV6lNTsN1RmqYHG6fMFFJVmz17jHtOTQN++UXOGWx0sbH6z9uM7ignVWysHDzshGBj5ABi9QGK3VCm8SvYLFy4EOPGjUODBg3w/vvv48orr0T79u3x0ksvoaKiAo899hg++eQTbNmyxaz2EhnPqPVscnOl2ycy0jl7J5kxzmbfPnlji4pyRpebk1TtjjJaXp4cjdz+w19WDh52UrAxsmLDgcOm82vwcN++fdG3b9/KP3u9XmzduhXZ2dnIzs7GihUr8PrrryM/Px8VFRWGN5bIFH37ShjJyZGb2tHXX6pa0769c2YKmVGxUX/P888HoqONe143aN8emDfPnIqNCjbnnGP8c/vKjq4ou6d7A2ePnwp0xuOxY8DatXLOYGOagLZUUCIiItChQwd06NABI0eOrPz6wYMHg24YkWXi4oCePYFly+TT1NixgT3Phg1ydEo3FGBOxYbja2pn1swoTQu/YOOU6d6AvpeTGj+lVpn215Il8m95/vn2r3PlYqYsX9nCzlIpUSCM6I5SlYzOnYNvj1HMqNgw2NTOrK6ooiLg5Ek5D5dg46SuqEaN9P9LanxZIDi+xhI2rctN5DBVg02gU3WdWLFRL8as2FhDBZudO2Xmi1FUtSYhQd5k7VJ18LAZU9qrclKwAQC1wfO6dYE/B8fXWILBhggALrkEaNBABsbu3u3/4ysq9E9yTqrYqK6o/fuB8vLgn8/r5R5RdUlPl9+j0lJjt7JwQjcUoA8e1jTZxdxMTgs2amG+QIPN0aP6YxlsTMVgQwTI3k4XXyzn8+f7//idO+XNLDYWaNvW2LYFo0ULGeDr9RqzGebu3dIlEhMj+9xQdZGR+s/FyHE2Tgk2sbHydwTM745yWrDp0kWO2dmBPX7xYgmEHTrYO7MtDDDYECmDB8vx22/9f2zVhfnUC78TREToe0YZ0R2l/p4dOsh0bzqbGQOInRJsPB5rxtmUlsoNcF6w2bgxsOonx9dYhsGGSLnySjnOnw+cPu3fY9US6aof3kmMHEDstAUIncjNwQawJtioGVEej979Zbd27aSyW1YW2L/td9/JceBAY9tFZ2GwIVK6d5cN7woLgeXL/XvsypVy7NnT+HYFS42zMSLYcHxN/RhsgqeCTUKCVB2dICIi8AHEe/cCW7ZINXfQIOPbRtU45DeGyAEiI4ErrpBzf7qjNM3ZwUYtOBjIoOgzsWJTP7Uas9rp3QhOCjaqgmLmtgpOG1+jqO4of4ONej3p1ct5fycXYrAhqkp1R/kTbHbulBVFY2KcNSNKUYNZd+4M7nlOn5ZPnQCDTV1UxWb3bqCWjYP95qRgY0XFxm3BZu5cOQ4ZYmx7qEYMNkRVqQHEq1bpmw7WZ9kyOXbt6swtBtSqqTt2BPc827dLuImL08ft0NlSU2UsRkWFMVUygMHGKdSUb39mRpWXAwsWyDmDjSVCJtjk5OTgjjvuQNu2bREbG4t27dph8uTJOGXUJyIiAGjZEujWTbqXvvjCt8csWSLHSy81r13BUBWbX3/VV68NRNWZX4HulRMOPB5jx9lUVAD5+XLOYGOvzp2lyzovT9a88sXy5TJmqFkzoEcPc9tHAEIo2GzZsgVerxevvvoqNm3ahOeffx7//Oc/8ec//9nuppHbDB8ux08/9e3+ixfLsV8/c9oTrKQk/c0omAoCx9f4zshgc/iwhBuPB0hODv75ghXOwaZxY71q89NPvj3mq6/keMUVzloKwsVCJthceeWVeOuttzB48GBkZGTguuuuw8MPP4zPPvvM7qaR29x0kxwXLJCxM3XJz5dxJx6P7BLuRB6PMeNsGGx8Z+QAYtUNlZzsjLWDqm6rYBYn7ex9pj595OhLsNE0YPZsOR82zLQmUXUhE2xqUlBQgGbNmtV5n7KyMhQWFla7EdWpfXspOZeXA19+Wfd9582TY1YW0LSp+W0LlBHjbDjV23dGVmycNL4G0GdFWTHd22kVG0APNj/+WP99N26UcBsTA1x9tbntokohG2x27NiBl156CX/4wx/qvN+UKVOQmJhYeUtTq7AS1cXX7qivv5bj0KHmtidYwVZsTp7UQxGDTf3MCDapqcE/lxHCuSsK0MfSrVsn3YR1Ua8fQ4Y4Z6HBMGB7sJk4cSI8Hk+dty1qiul/7d+/H1deeSVGjBiBcePG1fn8kyZNQkFBQeVtn68Dvii8qe6ob7/VB26eqaJCn8YZKsEm0IrNli2y31Tz5tznxheqK2r//uA3i3RaxSbcg01qqlR0Na3+feVUN5R6PSFL2N5h+9BDD2Hs2LF13icjI6PyPDc3FwMGDMAll1yC1157rd7nj4mJQUxMTLDNpHDTqZMstrdyJfDOO8DDD599n++/lx17mzUDfvMb69voD9UVFWjFZsMGOXJGlG+aNZMQeOSIhEm1/kkg1C7hrNg4x5Ah8n/i22+B3/625vts3izdtw0aANdea237wpztwSY5ORnJPo70379/PwYMGIDu3bvjrbfeQoRTltomd7rrLgk2r7wCPPDA2QM333lHjjff7IxBnXVRFZucHBk75G97166VYzBv0OGmfXtg6VLpjgrm56aqzE5ZO8jKwcNODTZXXglMmyYznk6flvBypjfflOOQIc79e7hUyCSD/fv3o3///mjdujWmTZuGQ4cOIS8vD3mqTEtktJEj5VP3rl1nj7U5ehRQM/JuvdX6tvnr3HNlAGN5eWC7fKtg062bse1yM6PG2ahg45TxgVYMHnZ6sLnsMpmldvgwsHDh2d8vKwNmzpTzu+6ytGkUQsFm3rx52LFjBxYsWIBWrVohNTW18kZkisaNgfvvl/O//hUoLdW/9+KLMnYiKwvo3due9vkjIgJQXbr+jrPRNH2l1YsuMrRZrubWYGNlV5QTp3sDUvEcMULO33337O+/+66EnnPPBa66ytq2UegEm7Fjx0LTtBpvRKa5/34Z27BjB/CXv8jXtm0DnntOzv/619AZc6IGtG7d6t/jdu+W6bfR0UDHjsa3y63UzzuYYFNaqm/t4bRgU1pq3F5YVZ06BZw4IedOXkJBjQ396CN9HBQg7X/mGTl/6CHnd1O7UMgEGyJbJCQAL70k5889J4MABw2Sas1llwE33mhv+/yhQsnmzf49TnVDXXhhzWMJqGaqYhPMIn3qDbNRI+e8yVedtmzGOBu1hg2ghygn6tlTXgPKy4Enn9S//txzMkg/OZndUDZhsCGqz/DhwNNPy/lXX8mbTbt2wPvvSxdPqFDB5pdf/HvcmjVy5Pga/6iZaEeOyC0QVbuhnFIZjIqSoAWYE2xUN1RCgvO3IHj8cTm+9hrwr39JF9Rjj8nX/vEP6c4my7FGRuSLSZPk09nnn8s6LnfdFXoLbgVbseH4Gv80bgy0aiVBePt2GYjuL6eNr1Hi46W7yIxxNk4fOFxV//7AhAnAjBlA1TXVfvc7YNQo25oV7hhsiHx1ySVyC1UXXCDH/HwZ2JiU5NvjGGwCl5kpwWbr1sDWOnJqsElIAA4eZLABgOefl0HO06fLIpb33CMVXqdU2MJQCNXRiSgojRsD6ely7mt3VF6e3DwemQFG/lFh8ozV033m5GADMNgA0jX31FMyNqiwEJg6lWPRbMZgQxROVDhZv963+y9bJscOHTheIBCBjmtSGGxCh8cTWmPuXIz/CkThpGtXOap1aerz009y7NvXjNa4n9uDjZmDh0Mt2JBjMNgQhRO1tL+/waZPH1Oa43oq2OzaJTuk+8upwcbM1YcZbChIDDZE4URVbDZulPU36nLyJLBqlZwz2ASmRQtZf8br9X+hvuJi/U3eacGGXVHkYAw2ROGkbVv5tF1WVn/3yKpVssFfixb6dgzkH48n8O4oVa1JTHTe0gIMNuRgDDZE4SQiQlZMBfSBwbWp2g3FqauBCzbYOK1aAzDYkKMx2BCFG7Weij/BhgLXqZMc/Q02u3bJsU0bQ5tjCA4eJgdjsCEKN2o38rqCjdcL/PyznHNGVHACrdjs3CnHdu2MbY8ROHiYHIzBhijc9Oolx82bZQXimqxaBRw9Km9gXHE4OCrYbN/u327YTg42ZnZFHTsmRwYbChCDDVG4SU6WnboBYOHCmu/zzTdyvOIKrqIarJYtJQhUVPg3Mypcgw0rNhQkBhuicDR4sBy/+67m73/9tRyHDrWmPW7m8ehBct063x6jaeEZbMrK9PV+GGwoQAw2ROHoiivk+N138iZaVU4OsGKFvCEz2BijWzc5qg1F65OfD5SUyL+BkwcPGx1sCgrk6PHINHeiADDYEIWjyy4D4uJkSvGZg4hnzZLjgAFAaqr1bXMjNU5pzRrf7r9jhxzT0oCYGHPaFAw1eLio6OxgHAzVDZWQwH2XKGD8zSEKR7GxwA03yPn77+tf93qBt96S85EjrW+XW6lgs3atb0Fg82Y5qt3BnUZVbLxe4MQJ456X42vIAAw2ROFq1Cg5vvuuPhPlyy9lgGtiInDzzfa1zW06dZJB2MePS1dffVSw6dDBzFYFrlEjvaJiZHcUgw0ZgMGGKFxdcQXQubO8Mf397zKm4//9P/ne+PH6p3IKXnS0PoDYl3E2Tg82Ho8542wYbMgADDZE4SoiAnjqKTl/7jkgJUWqNeeeCzz0kL1tcyN/BhA7PdgADDbkWAw2ROHsuuuARx+V8xMnpAvqww+BZs3sbZcb+TqA+MQJYM8eOQ+FYGPktgoMNmSAKLsbQEQ2e+opCThbt8r6Ni1a2N0id6o6gLgumzbJAOPkZLk5lRnbKjDYkAEYbIgIuPhiuZF5unQBIiOBAwdkmn1tu3ario7Tt7JgVxQ5FLuiiIis0LixhBtA3zm9Jqqiw2BDFBAGGyIiq6id0n0JNmqwsVMx2JBDMdgQEVlFBZslS2r+/unTwPr1cs6KDVFAGGyIiKxy6aVyXL8eOHz47O+vXg2UlgLNmztz88uq1F5Oan8nI6iFIhlsKAgMNkREVjnnHFkUUdOAefPO/v6iRXK89FLn75Wkgo2qshiBFRsygMP/5xARucyVV8rx22/P/t7ixXK87DLr2hMoFT6MrNgw2JABGGyIiKykgs1XX8mYGqW0VA82/fpZ3y5/qfBhVMWmtFRuVZ+bKAAMNkREVurXT7avOHIE+O47/etz5wLFxbK+TdeutjXPZ0Z3RanKT9V9qIgCEJLBpqysDF27doXH40F2drbdzSEi8l1UFPDb38r5zJn61z/+WI433eT88TWA8V1RKiAlJobG358cKyR/e/70pz+hZcuWdjeDiCgwv/+9HGfPlg0vd+8GPv1UvqZCj9MZXbHh+BoySMgFm2+++Qbfffcdpk2bZndTiIgC06ULcMMNMjvqppuAESNkvM3ll4fO1hYqgJw4UX2sUKAYbMggIbVX1MGDBzFu3Dh8/vnnaNSokU+PKSsrQ1lZWeWfC41cTIqIKFDPPgv88APwyy/y55gY4JlnbG2SX6qOgykoAJKSgns+BhsySMhUbDRNw9ixY3H33XejR48ePj9uypQpSExMrLyl1bbxHBGRlTIzgfnzgauvBgYOlPPu3e1ule+iooC4ODk3ojuKwYYMYnuwmThxIjweT523LVu24KWXXkJRUREmTZrk1/NPmjQJBQUFlbd9+/aZ9DchIvJTt24y7XvBAn27hVBi5JRvBhsyiO1dUQ899BDGjh1b530yMjKwcOFCLF26FDExMdW+16NHD4waNQpvv/12jY+NiYk56zFERGSAJk2AX381ZmYUgw0ZxPZgk5ycjOTk5HrvN336dDz11FOVf87NzcWQIUPw0UcfoVevXmY2kYiIamLkzCgGGzKI7cHGV61bt67257j/9u22a9cOrVq1sqNJREThzciuKLUBpgpLRAGyfYwNERGFKCN3+FbBplmz4J+LwlrIVGzO1KZNG2iaZncziIjCl5EVm6NH5chgQ0FixYaIiAJjRlcUgw0FicGGiIgCY2RXFCs2ZBAGGyIiCoxRFZuKCv05mjYN7rko7DHYEBFRYIwKNgUFsm8WwGBDQWOwISKiwBjVFaW6oeLigOjo4J6Lwh6DDRERBcaoig0HDpOBGGyIiCgwRq08zIHDZCAGGyIiCoyq2BQWAl5v4M/DYEMGYrAhIqLAqGCjaUBRUeDPo4INBw6TARhsiIgoMA0b6oN9g+mO4hgbMhCDDRERBU5VbYKZGcWuKDIQgw0REQXOiAHEDDZkIAYbIiIKnBFTvhlsyEAMNkREFDgVbNQ4mUBw8DAZiMGGiIgC17y5HIMJNhw8TAZisCEiosCpMKKqLoFgVxQZiMGGiIgCp8LIkSOBPV7TGGzIUAw2REQUuGArNidOAKdOVX8uoiAw2BARUeCCDTbqcQ0aAI0aGdMmCmsMNkREFDg1eDjQYFN14LDHY0ybKKwx2BARUeCMqtiwG4oMwmBDRESBC3bwMIMNGYzBhoiIAqcCSUEBUF7u/+MZbMhgDDZERBS4qoEkkG0VuOowGYzBhoiIAhcVBSQkyHkg42wOH5ZjUpJxbaKwxmBDRETBCWYA8aFDckxONq49FNYYbIiIKDjBDCBmxYYMxmBDRETBYcWGHITBhoiIghPMIn0MNmQwBhsiIgoOKzbkIAw2REQUnECDTVkZUFQk5xxjQwZhsCEiouAEGmzUwOGoKKBJE0ObROGLwYaIiIIT6Kwo1Q2VlMQNMMkwIRds/vOf/6BXr16IjY1F06ZNMWzYMLubREQU3gIdPFw12BAZJMruBvhj9uzZGDduHJ5++mkMHDgQ5eXl2Lhxo93NIiIKb8F2RXHgMBkoZIJNeXk57r//fkydOhV33HFH5dc7duxoY6uIiCjgYMMZUWSCkOmKWrNmDfbv34+IiAhcdNFFSE1NxVVXXVVvxaasrAyFhYXVbkREZCAVbI4fByoqfH8cgw2ZIGSCza5duwAAjz/+OP7yl7/gq6++QtOmTdG/f38creNTwpQpU5CYmFh5S0tLs6rJREThQe3MrWn+7fDNMTZkAtuDzcSJE+HxeOq8bdmyBV6vFwDw6KOPYvjw4ejevTveeusteDwefPLJJ7U+/6RJk1BQUFB527dvn1V/NSKi8BAdDcTHy7k/M6M4xoZMYPsYm4ceeghjx46t8z4ZGRk4cOAAgOpjamJiYpCRkYG9e/fW+tiYmBjExMQY0lYiIqpFUpIstnf4MNC+vW+PYVcUmcD2YJOcnIxkH36pu3fvjpiYGGzduhV9+/YFAJw+fRo5OTlIT083u5lERFSXlBRg924gP9/3x7Arikxge7DxVUJCAu6++25MnjwZaWlpSE9Px9SpUwEAI0aMsLl1RERhTn1AVWHFF+yKIhOETLABgKlTpyIqKgq33norTp48iV69emHhwoVoqgauERGRPVJS5OhrsPF69fE4DDZkoJAKNg0aNMC0adMwbdo0u5tCRERVqXDia1fU0aMSbgB95WIiA9g+K4qIiFzA34qNul+TJkCDBqY0icITgw0REQXP34oNx9eQSRhsiIgoeP4OHj54sPrjiAzCYENERMFTXVG+Vmzy8uSYmmpOeyhsMdgQEVHwVOXl8GHZWqE+/110lcGGjMZgQ0REwVPB5vRp3/aLUhWbc84xrUkUnhhsiIgoeA0bygwnQK/G1EXdh8GGDMZgQ0RExlDdSqoaUxeOsSGTMNgQEZExVEhhxYZsxGBDRETGUCGlvopNRYU+e4rBhgzGYENERMbwtWJz+LBsp+Dx6NPEiQzCYENERMbwNdio7ycnA1EhtWUhhQAGGyIiMoavXVG//irHVq3MbQ+FJQYbIiIyhq8Vm3375MhgQyZgsCEiImP4GmxUxSYtzdz2UFhisCEiImOce64cjx8HSkpqvx+7oshEDDZERGSMhAS5AXp3U03YFUUmYrAhIiLjtG4tx717a78Pu6LIRAw2RERkHBVWaqvYaBorNmQqBhsiIjKOCja1VWyOHAFKS+VcjckhMhCDDRERGUd1RdVWscnJkWNqquwITmQwBhsiIjJOfV1RO3fKMSPDmvZQ2GGwISIi46iKzZ49NX9/1y45MtiQSRhsiIjIOCqw5OQA5eVnf5/BhkzGYENERMZp1QqIiQFOn655ALEKNu3aWdsuChsMNkREZJyICD20bN9+9vdZsSGTMdgQEZGxMjPleGawKS3VqzgMNmQSBhsiIjKWCjY7dlT/+tatgNcLNG0KnHOO9e2isMBgQ0RExlLBZtu26l/fuFGOF14IeDzWtonCBoMNEREZq0MHOaogo6g/d+pkbXsorDDYEBGRsbp0keO+fcDhw/rXq1ZsiEzCYENERMZKSNC7o9au1b++fr0cWbEhEzHYEBGR8S66SI5r1shx3z6ZERURAXTvbl+7yPVCKths27YN119/PZKSkpCQkIC+ffvi+++/t7tZRER0pm7d5Lh8uRwXL9a/Hh9vT5soLIRUsLnmmmtQXl6OhQsXYvXq1ejSpQuuueYa5OXl2d00IiKqatAgOc6bB5SV6cHmssvsaxOFhZAJNocPH8b27dsxceJEZGVlITMzE8888wxOnDiBjWeOvCciInt16wakpgLFxRJu/v1v+TqDDZksZIJN8+bNcf755+Odd95BSUkJysvL8eqrryIlJQXd6+ivLSsrQ2FhYbUbERGZLCICuPZaOb/2WuDAAVmUb8gQe9tFrhcywcbj8WD+/PlYu3Yt4uPj0bBhQ/zjH//A3Llz0bRp01ofN2XKFCQmJlbe0tLSLGw1EVEYu/9+2RBTGT8eiI62rz0UFmwPNhMnToTH46nztmXLFmiahvHjxyMlJQVLlizBihUrMGzYMFx77bU4cOBArc8/adIkFBQUVN727dtn4d+OiCiMdewI/POfwLnnAhMmAI88YneLKAx4NE3T7GzAoUOHcOTIkTrvk5GRgSVLlmDw4ME4duwYEhISKr+XmZmJO+64AxMnTvTpeoWFhUhMTERBQUG15yEiIiLn8vX9O8rCNtUoOTkZycnJ9d7vxIkTAICIiOpFpoiICHi9XlPaRkRERKHF9q4oX/Xu3RtNmzbFmDFjsG7dOmzbtg2PPPIIdu/ejauvvtru5hEREZEDhEywSUpKwty5c1FcXIyBAweiR48e+PHHH/HFF1+gi9qXhIiIiMKa7WNsrMYxNkRERKHH1/fvkKnYEBEREdWHwYaIiIhcg8GGiIiIXIPBhoiIiFyDwYaIiIhcg8GGiIiIXIPBhoiIiFyDwYaIiIhcg8GGiIiIXIPBhoiIiFzD9t29raZ2kCgsLLS5JUREROQr9b5d305QYRdsioqKAABpaWk2t4SIiIj8VVRUhMTExFq/H3abYHq9XuTm5iI+Ph4ej8ew5y0sLERaWhr27dvHzTVNxp+1NfhztgZ/ztbgz9kaZv6cNU1DUVERWrZsiYiI2kfShF3FJiIiAq1atTLt+RMSEvifxiL8WVuDP2dr8OdsDf6crWHWz7muSo3CwcNERETkGgw2RERE5BoMNgaJiYnB5MmTERMTY3dTXI8/a2vw52wN/pytwZ+zNZzwcw67wcNERETkXqzYEBERkWsw2BAREZFrMNgQERGRazDYEBERkWsw2Bjk5ZdfRps2bdCwYUP06tULK1assLtJrrN48WJce+21aNmyJTweDz7//HO7m+Q6U6ZMQc+ePREfH4+UlBQMGzYMW7dutbtZrvTKK68gKyurciGz3r1745tvvrG7Wa72zDPPwOPx4IEHHrC7Ka7z+OOPw+PxVLtdcMEFtrSFwcYAH330ER588EFMnjwZa9asQZcuXTBkyBDk5+fb3TRXKSkpQZcuXfDyyy/b3RTXWrRoEcaPH49ly5Zh3rx5OH36NAYPHoySkhK7m+Y6rVq1wjPPPIPVq1dj1apVGDhwIK6//nps2rTJ7qa50sqVK/Hqq68iKyvL7qa4VqdOnXDgwIHK248//mhLOzjd2wC9evVCz549MWPGDACyH1VaWhruvfdeTJw40ebWuZPH48GcOXMwbNgwu5viaocOHUJKSgoWLVqEfv362d0c12vWrBmmTp2KO+64w+6muEpxcTG6deuG//u//8NTTz2Frl274oUXXrC7Wa7y+OOP4/PPP0d2drbdTWHFJlinTp3C6tWrcfnll1d+LSIiApdffjmWLl1qY8uIgldQUABA3nDJPBUVFZg1axZKSkrQu3dvu5vjOuPHj8fVV19d7XWajLd9+3a0bNkSGRkZGDVqFPbu3WtLO8JuE0yjHT58GBUVFWjRokW1r7do0QJbtmyxqVVEwfN6vXjggQfQp08fXHjhhXY3x5U2bNiA3r17o7S0FHFxcZgzZw46duxod7NcZdasWVizZg1Wrlxpd1NcrVevXpg5cybOP/98HDhwAH/7299w6aWXYuPGjYiPj7e0LQw2RFSj8ePHY+PGjbb1k4eD888/H9nZ2SgoKMCnn36KMWPGYNGiRQw3Btm3bx/uv/9+zJs3Dw0bNrS7Oa521VVXVZ5nZWWhV69eSE9Px8cff2x51yqDTZCSkpIQGRmJgwcPVvv6wYMHcc4559jUKqLgTJgwAV999RUWL16MVq1a2d0c14qOjsZ5550HAOjevTtWrlyJF198Ea+++qrNLXOH1atXIz8/H926dav8WkVFBRYvXowZM2agrKwMkZGRNrbQvZo0aYL27dtjx44dll+bY2yCFB0dje7du2PBggWVX/N6vViwYAH7yinkaJqGCRMmYM6cOVi4cCHatm1rd5PCitfrRVlZmd3NcI1BgwZhw4YNyM7Orrz16NEDo0aNQnZ2NkONiYqLi7Fz506kpqZafm1WbAzw4IMPYsyYMejRowcuvvhivPDCCygpKcHtt99ud9Ncpbi4uFr63717N7Kzs9GsWTO0bt3axpa5x/jx4/HBBx/giy++QHx8PPLy8gAAiYmJiI2Ntbl17jJp0iRcddVVaN26NYqKivDBBx/ghx9+wLfffmt301wjPj7+rPFhjRs3RvPmzTluzGAPP/wwrr32WqSnpyM3NxeTJ09GZGQkRo4caXlbGGwMcMstt+DQoUN47LHHkJeXh65du2Lu3LlnDSim4KxatQoDBgyo/PODDz4IABgzZgxmzpxpU6vc5ZVXXgEA9O/fv9rX33rrLYwdO9b6BrlYfn4+brvtNhw4cACJiYnIysrCt99+iyuuuMLuphH57ddff8XIkSNx5MgRJCcno2/fvli2bBmSk5MtbwvXsSEiIiLX4BgbIiIicg0GGyIiInINBhsiIiJyDQYbIiIicg0GGyIiInINBhsiIiJyDQYbIiIicg0GGyIiInINBhsicpScnBx4PB60adPG7qYQUQhisCEiy7Vp0wYejwc5OTl2N4WIXIZ7RRGRo5x77rnYvHkzGjRoYHdTiCgEMdgQkaM0aNAAF1xwgd3NIKIQxa4oIrLMzJkz4fF4sGfPHgBA27Zt4fF4Km8//PBDnWNs1P0A4L333sPFF1+MuLg4JCcnY+TIkdi7dy8AQNM0zJgxA127dkXjxo2RlJSEsWPHIj8/v9a2bdu2DX/4wx/Qrl07NGzYEImJiejXrx/ee+89438QRGQa7u5NRJb58ccf8a9//QuffvopSkpKMHz4cMTFxVV+f+LEiWjYsCHatm2L9PT0s8bgqFAzceJETJs2Df369UOzZs2wYsUK7N27F2lpaVi3bh3uvvtufPnll+jfvz9iY2Px008/IT8/H1lZWVi5ciWio6OrPe8nn3yC2267DaWlpbjgggvQoUMHFBQUYPny5SgpKcHtt9+ON9980/SfDxEZQCMislh6eroGQNu9e/dZ39u9e7cGQEtPTz/rewA0AFrz5s217Ozsyq+fOHFC69u3rwZA69y5s9auXTstJyen8vuHDh3SzjvvPA2A9t5771V7zvXr12sxMTFaw4YNtdmzZ1f7Xk5Ojta5c2cNgPb2228H95cmIkuwK4qIQs4TTzyBLl26VP45NjYWDz74IABgw4YNmD59OtLT0yu/n5SUhHvuuQcAsGDBgmrP9fe//x1lZWV46qmncOONN1b7Xnp6Ot544w0AwPTp0035uxCRsRhsiCjkDB069KyvZWZmAgCioqIwePDgWr+fm5tb+TWv14tvvvkGAHDLLbfUeK0ePXogLi4Oa9euRWlpadBtJyJzMdgQUchp3br1WV9TY3VSU1MRFXX2hM/4+HgAqBZOjhw5gsLCQgBAWlpatYHM6hYREYHi4mJ4vV4cOXLEjL8OERmI072JKORERNT+mayu753J6/VWno8ZM6be+8fExPj83ERkDwYbIgpbSUlJiI2NxcmTJzFt2jQkJSXZ3SQiChK7oojIcmq6dXl5ua3tiIyMxBVXXAEA+Pjjj21tCxEZg8GGiCzXqlUrAMCmTZtsbgkwefJkREdH45FHHsHbb79drXtK2bhxIz777DMbWkdE/mKwISLLDR8+HAAwevRoDB8+HHfeeSfuvPNObN261fK2dOvWrXJ14bFjxyI9PR1DhgzB6NGjMXToUKSlpaFz586s6BCFCI6xISLL3XPPPSgqKsJ7772Hr7/+unKm0ujRo2vcSsFsI0aMQM+ePTF9+nTMmzcPP/30EyoqKtCiRQucd955mDBhAm666SbL20VE/uOWCkREROQa7IoiIiIi12CwISIiItdgsCEiIiLXYLAhIiIi12CwISIiItdgsCEiIiLXYLAhIiIi12CwISIiItdgsCEiIiLXYLAhIiIi12CwISIiItdgsCEiIiLX+P+6la4IbMU6gQAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1604,7 +1632,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
diff --git a/docs/notebooks/04_example_dissipative_qubit_reset.ipynb b/docs/notebooks/04_example_dissipative_qubit_reset.ipynb
index 6c562dc4..3ca71d22 100644
--- a/docs/notebooks/04_example_dissipative_qubit_reset.ipynb
+++ b/docs/notebooks/04_example_dissipative_qubit_reset.ipynb
@@ -21,10 +21,10 @@
      "n": "1"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.289690Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.289497Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.917359Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.916761Z"
+     "iopub.execute_input": "2024-06-03T10:39:18.998818Z",
+     "iopub.status.busy": "2024-06-03T10:39:18.998624Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.507620Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.507068Z"
     }
    },
    "outputs": [
@@ -38,9 +38,9 @@
       "\n",
       "qutip     : 4.7.6\n",
       "matplotlib: 3.7.5\n",
-      "numpy     : 1.24.4\n",
-      "krotov    : 1.2.1+dev\n",
+      "krotov    : 1.3.0\n",
       "scipy     : 1.10.1\n",
+      "numpy     : 1.24.4\n",
       "\n"
      ]
     }
@@ -156,10 +156,10 @@
      "n": "2"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.945900Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.945629Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.948946Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.948387Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.534004Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.533759Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.536805Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.536261Z"
     }
    },
    "outputs": [],
@@ -205,10 +205,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.950984Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.950817Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.960514Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.960078Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.538744Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.538596Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.547969Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.547428Z"
     }
    },
    "outputs": [],
@@ -305,10 +305,10 @@
      "n": "6"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.962572Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.962404Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.966433Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.965900Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.550005Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.549856Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.553297Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.552921Z"
     }
    },
    "outputs": [],
@@ -346,10 +346,10 @@
      "n": "7"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.968423Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.968257Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.971937Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.971390Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.555244Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.555097Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.558549Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.558060Z"
     }
    },
    "outputs": [],
@@ -387,10 +387,10 @@
      "n": "8"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.973934Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.973767Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.976895Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.976487Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.560542Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.560364Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.563350Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.562884Z"
     }
    },
    "outputs": [],
@@ -423,10 +423,10 @@
      "n": "9"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.978883Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.978720Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.984491Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.984046Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.565291Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.565141Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.570491Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.570126Z"
     }
    },
    "outputs": [
@@ -469,10 +469,10 @@
      "n": "10"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.986515Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.986347Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.989274Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.988831Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.572561Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.572257Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.574843Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.574470Z"
     }
    },
    "outputs": [],
@@ -507,10 +507,10 @@
      "n": "11"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.991246Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.991081Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.994125Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.993603Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.576798Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.576646Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.579503Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.579013Z"
     }
    },
    "outputs": [],
@@ -538,10 +538,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:02.996372Z",
-     "iopub.status.busy": "2024-06-01T16:26:02.996000Z",
-     "iopub.status.idle": "2024-06-01T16:26:02.998702Z",
-     "shell.execute_reply": "2024-06-01T16:26:02.998283Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.581579Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.581264Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.583854Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.583352Z"
     }
    },
    "outputs": [],
@@ -561,10 +561,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:03.000706Z",
-     "iopub.status.busy": "2024-06-01T16:26:03.000537Z",
-     "iopub.status.idle": "2024-06-01T16:26:03.003078Z",
-     "shell.execute_reply": "2024-06-01T16:26:03.002656Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.585737Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.585587Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.587899Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.587515Z"
     }
    },
    "outputs": [],
@@ -586,10 +586,10 @@
      "n": "13"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:03.005185Z",
-     "iopub.status.busy": "2024-06-01T16:26:03.004855Z",
-     "iopub.status.idle": "2024-06-01T16:26:03.008435Z",
-     "shell.execute_reply": "2024-06-01T16:26:03.007885Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.589724Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.589575Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.592757Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.592265Z"
     }
    },
    "outputs": [],
@@ -626,10 +626,10 @@
      "n": "14"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:03.010472Z",
-     "iopub.status.busy": "2024-06-01T16:26:03.010305Z",
-     "iopub.status.idle": "2024-06-01T16:26:03.196769Z",
-     "shell.execute_reply": "2024-06-01T16:26:03.196214Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.594718Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.594540Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.735869Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.735373Z"
     }
    },
    "outputs": [
@@ -661,10 +661,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:03.198961Z",
-     "iopub.status.busy": "2024-06-01T16:26:03.198778Z",
-     "iopub.status.idle": "2024-06-01T16:26:03.206495Z",
-     "shell.execute_reply": "2024-06-01T16:26:03.205927Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.737943Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.737731Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.744435Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.743960Z"
     }
    },
    "outputs": [],
@@ -693,10 +693,10 @@
      "n": "15"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:03.208561Z",
-     "iopub.status.busy": "2024-06-01T16:26:03.208383Z",
-     "iopub.status.idle": "2024-06-01T16:26:03.257814Z",
-     "shell.execute_reply": "2024-06-01T16:26:03.257351Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.746275Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.746126Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.790154Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.789778Z"
     }
    },
    "outputs": [],
@@ -720,10 +720,10 @@
      "n": "16"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:03.260002Z",
-     "iopub.status.busy": "2024-06-01T16:26:03.259661Z",
-     "iopub.status.idle": "2024-06-01T16:26:03.390292Z",
-     "shell.execute_reply": "2024-06-01T16:26:03.389703Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.792085Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.791911Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.908482Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.907976Z"
     }
    },
    "outputs": [
@@ -807,10 +807,10 @@
      "start_time": "2019-02-12T04:47:27.118668Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:03.392952Z",
-     "iopub.status.busy": "2024-06-01T16:26:03.392524Z",
-     "iopub.status.idle": "2024-06-01T16:26:03.396074Z",
-     "shell.execute_reply": "2024-06-01T16:26:03.395494Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.911006Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.910814Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.913931Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.913550Z"
     }
    },
    "outputs": [],
@@ -859,10 +859,10 @@
      "n": "18"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:03.398289Z",
-     "iopub.status.busy": "2024-06-01T16:26:03.398000Z",
-     "iopub.status.idle": "2024-06-01T16:26:03.401105Z",
-     "shell.execute_reply": "2024-06-01T16:26:03.400660Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.915863Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.915672Z",
+     "iopub.status.idle": "2024-06-03T10:39:19.918699Z",
+     "shell.execute_reply": "2024-06-03T10:39:19.918211Z"
     }
    },
    "outputs": [],
@@ -888,10 +888,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:03.403203Z",
-     "iopub.status.busy": "2024-06-01T16:26:03.402993Z",
-     "iopub.status.idle": "2024-06-01T16:26:12.330214Z",
-     "shell.execute_reply": "2024-06-01T16:26:12.329633Z"
+     "iopub.execute_input": "2024-06-03T10:39:19.920612Z",
+     "iopub.status.busy": "2024-06-03T10:39:19.920464Z",
+     "iopub.status.idle": "2024-06-03T10:39:27.823290Z",
+     "shell.execute_reply": "2024-06-03T10:39:27.822652Z"
     }
    },
    "outputs": [
@@ -909,7 +909,7 @@
       "    S(t) (ranges): [0.000000, 1.000000]\n",
       "    iter_start: 0\n",
       "    iter_stop: 5\n",
-      "    duration: 0.3 secs (started at 2024-06-01 18:26:03)\n",
+      "    duration: 0.2 secs (started at 2024-06-03 12:39:19)\n",
       "    optimized pulses (ranges): [0.00, 2.00]\n",
       "    ∫gₐ(t)dt: 0.00e+00\n",
       "    λₐ: 1.00e-01\n",
@@ -930,7 +930,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 1\n",
-      "    duration: 1.7 secs (started at 2024-06-01 18:26:03)\n",
+      "    duration: 1.5 secs (started at 2024-06-03 12:39:20)\n",
       "    optimized pulses (ranges): [0.00, 2.06]\n",
       "    ∫gₐ(t)dt: 8.64e-03\n",
       "    λₐ: 1.00e-01\n",
@@ -951,7 +951,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 2\n",
-      "    duration: 1.7 secs (started at 2024-06-01 18:26:05)\n",
+      "    duration: 1.5 secs (started at 2024-06-03 12:39:21)\n",
       "    optimized pulses (ranges): [0.00, 2.36]\n",
       "    ∫gₐ(t)dt: 4.73e-02\n",
       "    λₐ: 1.00e-01\n",
@@ -972,7 +972,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 3\n",
-      "    duration: 1.8 secs (started at 2024-06-01 18:26:07)\n",
+      "    duration: 1.5 secs (started at 2024-06-03 12:39:23)\n",
       "    optimized pulses (ranges): [0.00, 2.44]\n",
       "    ∫gₐ(t)dt: 6.87e-03\n",
       "    λₐ: 1.00e-01\n",
@@ -993,7 +993,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 4\n",
-      "    duration: 1.7 secs (started at 2024-06-01 18:26:08)\n",
+      "    duration: 1.5 secs (started at 2024-06-03 12:39:24)\n",
       "    optimized pulses (ranges): [0.00, 2.42]\n",
       "    ∫gₐ(t)dt: 7.32e-04\n",
       "    λₐ: 1.00e-01\n",
@@ -1014,7 +1014,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 5\n",
-      "    duration: 1.7 secs (started at 2024-06-01 18:26:10)\n",
+      "    duration: 1.6 secs (started at 2024-06-03 12:39:26)\n",
       "    optimized pulses (ranges): [0.00, 2.43]\n",
       "    ∫gₐ(t)dt: 1.25e-04\n",
       "    λₐ: 1.00e-01\n",
@@ -1062,10 +1062,10 @@
      "n": "20"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:12.332346Z",
-     "iopub.status.busy": "2024-06-01T16:26:12.332122Z",
-     "iopub.status.idle": "2024-06-01T16:26:12.335731Z",
-     "shell.execute_reply": "2024-06-01T16:26:12.335320Z"
+     "iopub.execute_input": "2024-06-03T10:39:27.825609Z",
+     "iopub.status.busy": "2024-06-03T10:39:27.825411Z",
+     "iopub.status.idle": "2024-06-03T10:39:27.829561Z",
+     "shell.execute_reply": "2024-06-03T10:39:27.828992Z"
     }
    },
    "outputs": [
@@ -1074,11 +1074,11 @@
       "text/plain": [
        "Krotov Optimization Result\n",
        "--------------------------\n",
-       "- Started at 2024-06-01 18:26:03\n",
+       "- Started at 2024-06-03 12:39:19\n",
        "- Number of objectives: 1\n",
        "- Number of iterations: 5\n",
        "- Reason for termination: Reached 5 iterations\n",
-       "- Ended at 2024-06-01 18:26:12 (0:00:09)"
+       "- Ended at 2024-06-03 12:39:27 (0:00:08)"
       ]
      },
      "execution_count": 20,
@@ -1115,10 +1115,10 @@
      "n": "21"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:12.337775Z",
-     "iopub.status.busy": "2024-06-01T16:26:12.337608Z",
-     "iopub.status.idle": "2024-06-01T16:26:12.463153Z",
-     "shell.execute_reply": "2024-06-01T16:26:12.462538Z"
+     "iopub.execute_input": "2024-06-03T10:39:27.831673Z",
+     "iopub.status.busy": "2024-06-03T10:39:27.831506Z",
+     "iopub.status.idle": "2024-06-03T10:39:27.931477Z",
+     "shell.execute_reply": "2024-06-03T10:39:27.930868Z"
     }
    },
    "outputs": [
@@ -1156,10 +1156,10 @@
      "n": "22"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:26:12.465446Z",
-     "iopub.status.busy": "2024-06-01T16:26:12.465215Z",
-     "iopub.status.idle": "2024-06-01T16:26:12.639808Z",
-     "shell.execute_reply": "2024-06-01T16:26:12.639264Z"
+     "iopub.execute_input": "2024-06-03T10:39:27.933785Z",
+     "iopub.status.busy": "2024-06-03T10:39:27.933596Z",
+     "iopub.status.idle": "2024-06-03T10:39:28.092799Z",
+     "shell.execute_reply": "2024-06-03T10:39:28.092180Z"
     }
    },
    "outputs": [
diff --git a/docs/notebooks/05_example_transmon_xgate.ipynb b/docs/notebooks/05_example_transmon_xgate.ipynb
index 99bec8e6..e28b0836 100644
--- a/docs/notebooks/05_example_transmon_xgate.ipynb
+++ b/docs/notebooks/05_example_transmon_xgate.ipynb
@@ -16,10 +16,10 @@
      "start_time": "2020-03-21T21:17:42.571725Z"
     },
     "execution": {
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-     "shell.execute_reply": "2024-06-01T17:24:27.866678Z"
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+     "shell.execute_reply": "2024-06-03T10:29:32.852499Z"
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    "outputs": [
@@ -31,13 +31,13 @@
       "Python version       : 3.8.16\n",
       "IPython version      : 8.12.3\n",
       "\n",
+      "krotov    : 1.3.0\n",
       "qutip     : 4.7.6\n",
-      "matplotlib: 3.7.5\n",
-      "krotov    : 1.2.1+dev\n",
+      "numpy     : 1.24.4\n",
       "sys       : 3.8.16 (default, May 26 2024, 19:41:26) \n",
       "[GCC 12.2.0]\n",
+      "matplotlib: 3.7.5\n",
       "scipy     : 1.10.1\n",
-      "numpy     : 1.24.4\n",
       "\n"
      ]
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@@ -163,10 +163,10 @@
      "start_time": "2020-03-21T21:17:56.572502Z"
     },
     "execution": {
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@@ -188,10 +188,10 @@
      "start_time": "2020-03-21T21:17:57.275685Z"
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     "execution": {
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-     "iopub.status.idle": "2024-06-01T17:24:27.902452Z",
-     "shell.execute_reply": "2024-06-01T17:24:27.901962Z"
+     "iopub.execute_input": "2024-06-03T10:29:32.884079Z",
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+     "shell.execute_reply": "2024-06-03T10:29:32.886611Z"
     }
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    "outputs": [],
@@ -217,10 +217,10 @@
      "start_time": "2020-03-21T21:17:57.957925Z"
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     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:27.904321Z",
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-     "shell.execute_reply": "2024-06-01T17:24:28.042601Z"
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+     "shell.execute_reply": "2024-06-03T10:29:33.028190Z"
     }
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    "outputs": [
@@ -255,10 +255,10 @@
      "start_time": "2020-03-21T21:17:59.814723Z"
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     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:28.045171Z",
-     "iopub.status.busy": "2024-06-01T17:24:28.045018Z",
-     "iopub.status.idle": "2024-06-01T17:24:28.049067Z",
-     "shell.execute_reply": "2024-06-01T17:24:28.048580Z"
+     "iopub.execute_input": "2024-06-03T10:29:33.030668Z",
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+     "shell.execute_reply": "2024-06-03T10:29:33.034268Z"
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    "outputs": [],
@@ -295,10 +295,10 @@
      "start_time": "2020-03-21T21:18:00.539883Z"
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     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:28.050843Z",
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-     "shell.execute_reply": "2024-06-01T17:24:28.053307Z"
+     "iopub.execute_input": "2024-06-03T10:29:33.036682Z",
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+     "shell.execute_reply": "2024-06-03T10:29:33.039270Z"
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    "outputs": [],
@@ -326,10 +326,10 @@
      "start_time": "2020-03-21T21:18:01.468153Z"
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-     "iopub.execute_input": "2024-06-01T17:24:28.055583Z",
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+     "iopub.execute_input": "2024-06-03T10:29:33.041664Z",
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+     "shell.execute_reply": "2024-06-03T10:29:33.046227Z"
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    "outputs": [
@@ -374,10 +374,10 @@
      "start_time": "2020-03-21T21:18:02.813232Z"
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     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:28.062123Z",
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+     "iopub.execute_input": "2024-06-03T10:29:33.048475Z",
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    "outputs": [],
@@ -423,10 +423,10 @@
      "start_time": "2020-03-21T21:18:04.764412Z"
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     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:28.066776Z",
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-     "shell.execute_reply": "2024-06-01T17:24:28.071506Z"
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     "scrolled": true
@@ -468,10 +468,10 @@
      "start_time": "2020-03-21T21:18:05.911538Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:28.073728Z",
-     "iopub.status.busy": "2024-06-01T17:24:28.073584Z",
-     "iopub.status.idle": "2024-06-01T17:24:28.357722Z",
-     "shell.execute_reply": "2024-06-01T17:24:28.357295Z"
+     "iopub.execute_input": "2024-06-03T10:29:33.061042Z",
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+     "shell.execute_reply": "2024-06-03T10:29:33.350676Z"
     }
    },
    "outputs": [],
@@ -490,10 +490,10 @@
      "start_time": "2020-03-21T21:18:07.421285Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:28.359680Z",
-     "iopub.status.busy": "2024-06-01T17:24:28.359523Z",
-     "iopub.status.idle": "2024-06-01T17:24:28.362707Z",
-     "shell.execute_reply": "2024-06-01T17:24:28.362341Z"
+     "iopub.execute_input": "2024-06-03T10:29:33.353166Z",
+     "iopub.status.busy": "2024-06-03T10:29:33.352929Z",
+     "iopub.status.idle": "2024-06-03T10:29:33.356387Z",
+     "shell.execute_reply": "2024-06-03T10:29:33.355886Z"
     }
    },
    "outputs": [],
@@ -518,10 +518,10 @@
      "start_time": "2020-03-21T21:18:08.195251Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:28.364579Z",
-     "iopub.status.busy": "2024-06-01T17:24:28.364430Z",
-     "iopub.status.idle": "2024-06-01T17:24:28.581639Z",
-     "shell.execute_reply": "2024-06-01T17:24:28.581129Z"
+     "iopub.execute_input": "2024-06-03T10:29:33.358203Z",
+     "iopub.status.busy": "2024-06-03T10:29:33.358053Z",
+     "iopub.status.idle": "2024-06-03T10:29:33.574590Z",
+     "shell.execute_reply": "2024-06-03T10:29:33.574061Z"
     }
    },
    "outputs": [
@@ -574,10 +574,10 @@
      "start_time": "2020-03-21T21:18:11.065096Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:28.583934Z",
-     "iopub.status.busy": "2024-06-01T17:24:28.583705Z",
-     "iopub.status.idle": "2024-06-01T17:24:28.586655Z",
-     "shell.execute_reply": "2024-06-01T17:24:28.586286Z"
+     "iopub.execute_input": "2024-06-03T10:29:33.576774Z",
+     "iopub.status.busy": "2024-06-03T10:29:33.576582Z",
+     "iopub.status.idle": "2024-06-03T10:29:33.579917Z",
+     "shell.execute_reply": "2024-06-03T10:29:33.579394Z"
     }
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    "outputs": [],
@@ -600,10 +600,10 @@
      "start_time": "2020-03-21T21:18:15.565391Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:24:28.589092Z",
-     "iopub.status.busy": "2024-06-01T17:24:28.588647Z",
-     "iopub.status.idle": "2024-06-01T17:25:08.467101Z",
-     "shell.execute_reply": "2024-06-01T17:25:08.466569Z"
+     "iopub.execute_input": "2024-06-03T10:29:33.581739Z",
+     "iopub.status.busy": "2024-06-03T10:29:33.581593Z",
+     "iopub.status.idle": "2024-06-03T10:30:14.159622Z",
+     "shell.execute_reply": "2024-06-03T10:30:14.159083Z"
     }
    },
    "outputs": [
@@ -688,10 +688,10 @@
      "start_time": "2020-03-21T21:19:54.217987Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:08.469343Z",
-     "iopub.status.busy": "2024-06-01T17:25:08.469159Z",
-     "iopub.status.idle": "2024-06-01T17:25:08.474259Z",
-     "shell.execute_reply": "2024-06-01T17:25:08.473757Z"
+     "iopub.execute_input": "2024-06-03T10:30:14.161727Z",
+     "iopub.status.busy": "2024-06-03T10:30:14.161569Z",
+     "iopub.status.idle": "2024-06-03T10:30:14.166455Z",
+     "shell.execute_reply": "2024-06-03T10:30:14.166082Z"
     },
     "lines_to_next_cell": 2
    },
@@ -732,10 +732,10 @@
      "start_time": "2020-03-21T21:19:55.178133Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:08.476225Z",
-     "iopub.status.busy": "2024-06-01T17:25:08.476052Z",
-     "iopub.status.idle": "2024-06-01T17:25:08.479665Z",
-     "shell.execute_reply": "2024-06-01T17:25:08.479275Z"
+     "iopub.execute_input": "2024-06-03T10:30:14.168260Z",
+     "iopub.status.busy": "2024-06-03T10:30:14.168112Z",
+     "iopub.status.idle": "2024-06-03T10:30:14.171865Z",
+     "shell.execute_reply": "2024-06-03T10:30:14.171357Z"
     }
    },
    "outputs": [
@@ -769,10 +769,10 @@
      "start_time": "2020-03-21T21:19:57.099117Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:08.481576Z",
-     "iopub.status.busy": "2024-06-01T17:25:08.481401Z",
-     "iopub.status.idle": "2024-06-01T17:25:08.484412Z",
-     "shell.execute_reply": "2024-06-01T17:25:08.484027Z"
+     "iopub.execute_input": "2024-06-03T10:30:14.173733Z",
+     "iopub.status.busy": "2024-06-03T10:30:14.173502Z",
+     "iopub.status.idle": "2024-06-03T10:30:14.176385Z",
+     "shell.execute_reply": "2024-06-03T10:30:14.175901Z"
     }
    },
    "outputs": [],
@@ -794,10 +794,10 @@
      "start_time": "2020-03-21T21:19:58.026972Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:08.486312Z",
-     "iopub.status.busy": "2024-06-01T17:25:08.486139Z",
-     "iopub.status.idle": "2024-06-01T17:25:09.206925Z",
-     "shell.execute_reply": "2024-06-01T17:25:09.206401Z"
+     "iopub.execute_input": "2024-06-03T10:30:14.178193Z",
+     "iopub.status.busy": "2024-06-03T10:30:14.178047Z",
+     "iopub.status.idle": "2024-06-03T10:30:14.900021Z",
+     "shell.execute_reply": "2024-06-03T10:30:14.899389Z"
     }
    },
    "outputs": [
@@ -867,10 +867,10 @@
      "start_time": "2020-03-21T21:20:00.433074Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:09.209234Z",
-     "iopub.status.busy": "2024-06-01T17:25:09.209051Z",
-     "iopub.status.idle": "2024-06-01T17:25:09.308597Z",
-     "shell.execute_reply": "2024-06-01T17:25:09.308087Z"
+     "iopub.execute_input": "2024-06-03T10:30:14.902243Z",
+     "iopub.status.busy": "2024-06-03T10:30:14.902057Z",
+     "iopub.status.idle": "2024-06-03T10:30:15.000492Z",
+     "shell.execute_reply": "2024-06-03T10:30:14.999982Z"
     }
    },
    "outputs": [
@@ -905,10 +905,10 @@
      "start_time": "2020-03-21T21:20:02.755327Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:09.311126Z",
-     "iopub.status.busy": "2024-06-01T17:25:09.310967Z",
-     "iopub.status.idle": "2024-06-01T17:25:09.416326Z",
-     "shell.execute_reply": "2024-06-01T17:25:09.415823Z"
+     "iopub.execute_input": "2024-06-03T10:30:15.002529Z",
+     "iopub.status.busy": "2024-06-03T10:30:15.002374Z",
+     "iopub.status.idle": "2024-06-03T10:30:15.107341Z",
+     "shell.execute_reply": "2024-06-03T10:30:15.106830Z"
     }
    },
    "outputs": [
@@ -974,10 +974,10 @@
      "start_time": "2020-03-21T21:20:04.164574Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:09.418431Z",
-     "iopub.status.busy": "2024-06-01T17:25:09.418152Z",
-     "iopub.status.idle": "2024-06-01T17:25:09.581418Z",
-     "shell.execute_reply": "2024-06-01T17:25:09.580844Z"
+     "iopub.execute_input": "2024-06-03T10:30:15.109294Z",
+     "iopub.status.busy": "2024-06-03T10:30:15.109140Z",
+     "iopub.status.idle": "2024-06-03T10:30:15.275426Z",
+     "shell.execute_reply": "2024-06-03T10:30:15.274900Z"
     }
    },
    "outputs": [],
@@ -997,10 +997,10 @@
      "start_time": "2020-03-21T21:20:05.686139Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:09.583587Z",
-     "iopub.status.busy": "2024-06-01T17:25:09.583390Z",
-     "iopub.status.idle": "2024-06-01T17:25:09.701485Z",
-     "shell.execute_reply": "2024-06-01T17:25:09.700969Z"
+     "iopub.execute_input": "2024-06-03T10:30:15.277553Z",
+     "iopub.status.busy": "2024-06-03T10:30:15.277392Z",
+     "iopub.status.idle": "2024-06-03T10:30:15.395549Z",
+     "shell.execute_reply": "2024-06-03T10:30:15.395000Z"
     }
    },
    "outputs": [
@@ -1028,10 +1028,10 @@
      "start_time": "2020-03-21T21:20:06.250554Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:09.703443Z",
-     "iopub.status.busy": "2024-06-01T17:25:09.703283Z",
-     "iopub.status.idle": "2024-06-01T17:25:09.817067Z",
-     "shell.execute_reply": "2024-06-01T17:25:09.816546Z"
+     "iopub.execute_input": "2024-06-03T10:30:15.397416Z",
+     "iopub.status.busy": "2024-06-03T10:30:15.397256Z",
+     "iopub.status.idle": "2024-06-03T10:30:15.511438Z",
+     "shell.execute_reply": "2024-06-03T10:30:15.510886Z"
     },
     "lines_to_next_cell": 2
    },
@@ -1074,10 +1074,10 @@
      "start_time": "2020-03-21T21:20:07.755573Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:09.819078Z",
-     "iopub.status.busy": "2024-06-01T17:25:09.818918Z",
-     "iopub.status.idle": "2024-06-01T17:25:13.486406Z",
-     "shell.execute_reply": "2024-06-01T17:25:13.485857Z"
+     "iopub.execute_input": "2024-06-03T10:30:15.513438Z",
+     "iopub.status.busy": "2024-06-03T10:30:15.513277Z",
+     "iopub.status.idle": "2024-06-03T10:30:19.132873Z",
+     "shell.execute_reply": "2024-06-03T10:30:19.132312Z"
     }
    },
    "outputs": [],
@@ -1108,10 +1108,10 @@
      "start_time": "2020-03-21T21:20:15.951751Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T17:25:13.488918Z",
-     "iopub.status.busy": "2024-06-01T17:25:13.488725Z",
-     "iopub.status.idle": "2024-06-01T17:25:13.492066Z",
-     "shell.execute_reply": "2024-06-01T17:25:13.491519Z"
+     "iopub.execute_input": "2024-06-03T10:30:19.135386Z",
+     "iopub.status.busy": "2024-06-03T10:30:19.135210Z",
+     "iopub.status.idle": "2024-06-03T10:30:19.138920Z",
+     "shell.execute_reply": "2024-06-03T10:30:19.138289Z"
     }
    },
    "outputs": [
diff --git a/docs/notebooks/06_example_3states.ipynb b/docs/notebooks/06_example_3states.ipynb
index 2cf6ef6e..b168459b 100644
--- a/docs/notebooks/06_example_3states.ipynb
+++ b/docs/notebooks/06_example_3states.ipynb
@@ -16,10 +16,10 @@
      "start_time": "2020-03-21T21:31:16.947553Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.282919Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.282711Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.816949Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.816400Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.206961Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.206139Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.725494Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.724916Z"
     }
    },
    "outputs": [
@@ -31,13 +31,13 @@
       "Python version       : 3.8.16\n",
       "IPython version      : 8.12.3\n",
       "\n",
-      "krotov    : 1.2.1+dev\n",
-      "qutip     : 4.7.6\n",
       "numpy     : 1.24.4\n",
+      "qutip     : 4.7.6\n",
+      "scipy     : 1.10.1\n",
       "matplotlib: 3.7.5\n",
+      "krotov    : 1.3.0\n",
       "sys       : 3.8.16 (default, May 26 2024, 19:41:26) \n",
       "[GCC 12.2.0]\n",
-      "scipy     : 1.10.1\n",
       "\n"
      ]
     }
@@ -124,10 +124,10 @@
      "start_time": "2020-03-21T21:31:20.724436Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.842911Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.842676Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.849042Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.848542Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.752291Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.752017Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.758455Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.757921Z"
     },
     "lines_to_next_cell": 2
    },
@@ -179,10 +179,10 @@
      "start_time": "2020-03-21T21:31:22.096718Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.850974Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.850802Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.853420Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.852933Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.760380Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.760230Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.762898Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.762342Z"
     }
    },
    "outputs": [],
@@ -216,10 +216,10 @@
      "start_time": "2020-03-21T21:31:24.057786Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.855338Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.855192Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.858457Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.858007Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.764918Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.764733Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.768205Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.767589Z"
     }
    },
    "outputs": [],
@@ -246,10 +246,10 @@
      "start_time": "2020-03-21T21:31:24.964035Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.860246Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.860101Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.862493Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.862100Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.770016Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.769863Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.772690Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.772126Z"
     }
    },
    "outputs": [],
@@ -273,10 +273,10 @@
      "start_time": "2020-03-21T21:31:26.257115Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.864326Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.864179Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.866519Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.866136Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.774616Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.774466Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.776836Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.776461Z"
     }
    },
    "outputs": [],
@@ -300,10 +300,10 @@
      "start_time": "2020-03-21T21:31:27.288042Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.868345Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.868198Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.870688Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.870274Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.778668Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.778519Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.781301Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.780802Z"
     }
    },
    "outputs": [],
@@ -329,10 +329,10 @@
      "start_time": "2020-03-21T21:31:28.060909Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.872535Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.872389Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.874771Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.874279Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.783146Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.782993Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.785342Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.784841Z"
     }
    },
    "outputs": [],
@@ -357,10 +357,10 @@
      "start_time": "2020-03-21T21:31:29.232057Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.876630Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.876482Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.886105Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.885567Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.787239Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.787014Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.795619Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.795235Z"
     }
    },
    "outputs": [],
@@ -386,10 +386,10 @@
      "start_time": "2020-03-21T21:31:30.666954Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.888091Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.887931Z",
-     "iopub.status.idle": "2024-06-02T10:23:47.891312Z",
-     "shell.execute_reply": "2024-06-02T10:23:47.890892Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.797523Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.797371Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.800583Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.800165Z"
     }
    },
    "outputs": [],
@@ -415,10 +415,10 @@
      "start_time": "2020-03-21T21:31:32.090987Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:47.893117Z",
-     "iopub.status.busy": "2024-06-02T10:23:47.892971Z",
-     "iopub.status.idle": "2024-06-02T10:23:48.035590Z",
-     "shell.execute_reply": "2024-06-02T10:23:48.035105Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.802338Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.802185Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.952075Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.951495Z"
     }
    },
    "outputs": [
@@ -460,10 +460,10 @@
      "start_time": "2020-03-21T21:31:33.930103Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:48.037642Z",
-     "iopub.status.busy": "2024-06-02T10:23:48.037488Z",
-     "iopub.status.idle": "2024-06-02T10:23:48.041032Z",
-     "shell.execute_reply": "2024-06-02T10:23:48.040541Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.954121Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.953956Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.957576Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.957179Z"
     }
    },
    "outputs": [],
@@ -511,10 +511,10 @@
      "start_time": "2020-03-21T21:31:35.459426Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:48.042850Z",
-     "iopub.status.busy": "2024-06-02T10:23:48.042704Z",
-     "iopub.status.idle": "2024-06-02T10:23:48.046688Z",
-     "shell.execute_reply": "2024-06-02T10:23:48.046309Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.959488Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.959336Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.963366Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.962981Z"
     }
    },
    "outputs": [],
@@ -542,10 +542,10 @@
      "start_time": "2020-03-21T21:31:36.671546Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:48.048480Z",
-     "iopub.status.busy": "2024-06-02T10:23:48.048334Z",
-     "iopub.status.idle": "2024-06-02T10:23:48.051091Z",
-     "shell.execute_reply": "2024-06-02T10:23:48.050601Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.965219Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.965067Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.967939Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.967347Z"
     }
    },
    "outputs": [],
@@ -571,10 +571,10 @@
      "start_time": "2020-03-21T21:31:38.576793Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:48.052916Z",
-     "iopub.status.busy": "2024-06-02T10:23:48.052770Z",
-     "iopub.status.idle": "2024-06-02T10:23:48.074391Z",
-     "shell.execute_reply": "2024-06-02T10:23:48.074026Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.969783Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.969630Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.992390Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.991924Z"
     }
    },
    "outputs": [
@@ -640,10 +640,10 @@
      "start_time": "2020-03-21T21:31:41.254299Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:48.076454Z",
-     "iopub.status.busy": "2024-06-02T10:23:48.076310Z",
-     "iopub.status.idle": "2024-06-02T10:23:48.080760Z",
-     "shell.execute_reply": "2024-06-02T10:23:48.080277Z"
+     "iopub.execute_input": "2024-06-03T10:32:49.994375Z",
+     "iopub.status.busy": "2024-06-03T10:32:49.994225Z",
+     "iopub.status.idle": "2024-06-03T10:32:49.998709Z",
+     "shell.execute_reply": "2024-06-03T10:32:49.998206Z"
     }
    },
    "outputs": [],
@@ -667,10 +667,10 @@
      "start_time": "2020-03-21T21:31:42.544173Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:48.082557Z",
-     "iopub.status.busy": "2024-06-02T10:23:48.082413Z",
-     "iopub.status.idle": "2024-06-02T10:23:48.085055Z",
-     "shell.execute_reply": "2024-06-02T10:23:48.084606Z"
+     "iopub.execute_input": "2024-06-03T10:32:50.000552Z",
+     "iopub.status.busy": "2024-06-03T10:32:50.000403Z",
+     "iopub.status.idle": "2024-06-03T10:32:50.002997Z",
+     "shell.execute_reply": "2024-06-03T10:32:50.002612Z"
     }
    },
    "outputs": [],
@@ -691,10 +691,10 @@
      "start_time": "2020-03-21T21:31:43.260810Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:23:48.086769Z",
-     "iopub.status.busy": "2024-06-02T10:23:48.086626Z",
-     "iopub.status.idle": "2024-06-02T10:24:22.621353Z",
-     "shell.execute_reply": "2024-06-02T10:24:22.620782Z"
+     "iopub.execute_input": "2024-06-03T10:32:50.004811Z",
+     "iopub.status.busy": "2024-06-03T10:32:50.004662Z",
+     "iopub.status.idle": "2024-06-03T10:33:25.357518Z",
+     "shell.execute_reply": "2024-06-03T10:33:25.356919Z"
     },
     "scrolled": true
    },
@@ -712,10 +712,10 @@
      "start_time": "2020-03-21T21:32:06.511175Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:24:22.623584Z",
-     "iopub.status.busy": "2024-06-02T10:24:22.623381Z",
-     "iopub.status.idle": "2024-06-02T10:24:22.633738Z",
-     "shell.execute_reply": "2024-06-02T10:24:22.633338Z"
+     "iopub.execute_input": "2024-06-03T10:33:25.359682Z",
+     "iopub.status.busy": "2024-06-03T10:33:25.359502Z",
+     "iopub.status.idle": "2024-06-03T10:33:25.370328Z",
+     "shell.execute_reply": "2024-06-03T10:33:25.369929Z"
     }
    },
    "outputs": [
@@ -754,10 +754,10 @@
      "start_time": "2020-03-21T21:32:18.385960Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:24:22.635780Z",
-     "iopub.status.busy": "2024-06-02T10:24:22.635493Z",
-     "iopub.status.idle": "2024-06-02T10:24:22.639097Z",
-     "shell.execute_reply": "2024-06-02T10:24:22.638612Z"
+     "iopub.execute_input": "2024-06-03T10:33:25.372310Z",
+     "iopub.status.busy": "2024-06-03T10:33:25.372133Z",
+     "iopub.status.idle": "2024-06-03T10:33:25.375923Z",
+     "shell.execute_reply": "2024-06-03T10:33:25.375382Z"
     }
    },
    "outputs": [],
@@ -774,10 +774,10 @@
      "start_time": "2020-03-21T21:32:19.323843Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:24:22.640937Z",
-     "iopub.status.busy": "2024-06-02T10:24:22.640767Z",
-     "iopub.status.idle": "2024-06-02T10:24:22.643916Z",
-     "shell.execute_reply": "2024-06-02T10:24:22.643492Z"
+     "iopub.execute_input": "2024-06-03T10:33:25.377841Z",
+     "iopub.status.busy": "2024-06-03T10:33:25.377663Z",
+     "iopub.status.idle": "2024-06-03T10:33:25.380705Z",
+     "shell.execute_reply": "2024-06-03T10:33:25.380181Z"
     }
    },
    "outputs": [],
@@ -800,10 +800,10 @@
      "start_time": "2020-03-21T21:32:20.180098Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:24:22.645912Z",
-     "iopub.status.busy": "2024-06-02T10:24:22.645497Z",
-     "iopub.status.idle": "2024-06-02T10:24:22.649422Z",
-     "shell.execute_reply": "2024-06-02T10:24:22.648939Z"
+     "iopub.execute_input": "2024-06-03T10:33:25.382499Z",
+     "iopub.status.busy": "2024-06-03T10:33:25.382349Z",
+     "iopub.status.idle": "2024-06-03T10:33:25.386203Z",
+     "shell.execute_reply": "2024-06-03T10:33:25.385699Z"
     }
    },
    "outputs": [],
@@ -830,10 +830,10 @@
      "start_time": "2020-03-21T21:32:20.943081Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:24:22.651288Z",
-     "iopub.status.busy": "2024-06-02T10:24:22.651118Z",
-     "iopub.status.idle": "2024-06-02T10:24:31.993867Z",
-     "shell.execute_reply": "2024-06-02T10:24:31.993196Z"
+     "iopub.execute_input": "2024-06-03T10:33:25.388130Z",
+     "iopub.status.busy": "2024-06-03T10:33:25.387980Z",
+     "iopub.status.idle": "2024-06-03T10:33:34.914215Z",
+     "shell.execute_reply": "2024-06-03T10:33:34.913591Z"
     }
    },
    "outputs": [
@@ -877,10 +877,10 @@
      "start_time": "2020-03-21T21:32:41.070283Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:24:31.996109Z",
-     "iopub.status.busy": "2024-06-02T10:24:31.995921Z",
-     "iopub.status.idle": "2024-06-02T10:24:31.999001Z",
-     "shell.execute_reply": "2024-06-02T10:24:31.998633Z"
+     "iopub.execute_input": "2024-06-03T10:33:34.916585Z",
+     "iopub.status.busy": "2024-06-03T10:33:34.916387Z",
+     "iopub.status.idle": "2024-06-03T10:33:34.919528Z",
+     "shell.execute_reply": "2024-06-03T10:33:34.919127Z"
     }
    },
    "outputs": [],
@@ -911,10 +911,10 @@
      "start_time": "2020-03-21T21:32:50.996511Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:24:32.000913Z",
-     "iopub.status.busy": "2024-06-02T10:24:32.000711Z",
-     "iopub.status.idle": "2024-06-02T10:25:40.800361Z",
-     "shell.execute_reply": "2024-06-02T10:25:40.799739Z"
+     "iopub.execute_input": "2024-06-03T10:33:34.921618Z",
+     "iopub.status.busy": "2024-06-03T10:33:34.921438Z",
+     "iopub.status.idle": "2024-06-03T10:34:44.755388Z",
+     "shell.execute_reply": "2024-06-03T10:34:44.754775Z"
     }
    },
    "outputs": [
@@ -944,7 +944,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "3     7.33e-02    3.78e-04   7.37e-02  -7.55e-04  -3.77e-04    20\n"
+      "3     7.33e-02    3.78e-04   7.37e-02  -7.55e-04  -3.77e-04    21\n"
      ]
     }
    ],
@@ -976,10 +976,10 @@
      "start_time": "2020-03-21T21:34:37.817889Z"
     },
     "execution": {
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-     "shell.execute_reply": "2024-06-02T10:25:40.808305Z"
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    "outputs": [],
@@ -1010,10 +1010,10 @@
      "start_time": "2020-03-21T21:34:38.622364Z"
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     "execution": {
-     "iopub.execute_input": "2024-06-02T10:25:40.810567Z",
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-     "iopub.status.idle": "2024-06-02T10:25:40.813837Z",
-     "shell.execute_reply": "2024-06-02T10:25:40.813467Z"
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+     "shell.execute_reply": "2024-06-03T10:34:44.769427Z"
     }
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    "outputs": [
@@ -1054,10 +1054,10 @@
      "start_time": "2020-03-21T21:34:47.074533Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:25:40.815639Z",
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-     "shell.execute_reply": "2024-06-02T10:25:40.817594Z"
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     }
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@@ -1074,10 +1074,10 @@
      "start_time": "2020-03-21T21:34:48.073785Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:25:40.819688Z",
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-     "shell.execute_reply": "2024-06-02T10:25:40.925847Z"
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+     "shell.execute_reply": "2024-06-03T10:34:44.906697Z"
     }
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    "outputs": [
@@ -1105,10 +1105,10 @@
      "start_time": "2020-03-21T21:34:49.038956Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:25:40.928293Z",
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-     "shell.execute_reply": "2024-06-02T10:25:40.930409Z"
+     "iopub.execute_input": "2024-06-03T10:34:44.909439Z",
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     }
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@@ -1130,10 +1130,10 @@
      "start_time": "2020-03-21T21:34:49.807447Z"
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     "execution": {
-     "iopub.execute_input": "2024-06-02T10:25:40.932693Z",
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-     "shell.execute_reply": "2024-06-02T10:26:29.216830Z"
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+     "shell.execute_reply": "2024-06-03T10:35:34.123926Z"
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@@ -1151,10 +1151,10 @@
      "start_time": "2020-03-21T21:35:25.571194Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:26:29.223869Z",
-     "iopub.status.busy": "2024-06-02T10:26:29.223466Z",
-     "iopub.status.idle": "2024-06-02T10:26:29.241188Z",
-     "shell.execute_reply": "2024-06-02T10:26:29.240608Z"
+     "iopub.execute_input": "2024-06-03T10:35:34.126947Z",
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+     "shell.execute_reply": "2024-06-03T10:35:34.137017Z"
     }
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    "outputs": [
@@ -1179,10 +1179,10 @@
      "start_time": "2020-03-21T21:35:26.698539Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:26:29.243579Z",
-     "iopub.status.busy": "2024-06-02T10:26:29.243380Z",
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-     "shell.execute_reply": "2024-06-02T10:26:29.246363Z"
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    "outputs": [],
@@ -1212,10 +1212,10 @@
      "start_time": "2020-03-21T21:35:27.831020Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:26:29.249281Z",
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-     "shell.execute_reply": "2024-06-02T10:26:41.614938Z"
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+     "shell.execute_reply": "2024-06-03T10:35:46.772043Z"
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    "outputs": [
@@ -1245,10 +1245,10 @@
      "start_time": "2020-03-21T21:35:41.361375Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-02T10:26:41.618807Z",
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-     "shell.execute_reply": "2024-06-02T10:26:41.621284Z"
+     "iopub.execute_input": "2024-06-03T10:35:46.776326Z",
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+     "shell.execute_reply": "2024-06-03T10:35:46.778773Z"
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    "outputs": [],
@@ -1270,10 +1270,10 @@
      "start_time": "2020-03-21T21:35:42.567254Z"
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+     "shell.execute_reply": "2024-06-03T10:35:47.471816Z"
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    "outputs": [
diff --git a/docs/notebooks/07_example_PE.ipynb b/docs/notebooks/07_example_PE.ipynb
index e058182d..cca5e8cf 100644
--- a/docs/notebooks/07_example_PE.ipynb
+++ b/docs/notebooks/07_example_PE.ipynb
@@ -17,10 +17,10 @@
      "n": "1"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:16.559600Z",
-     "iopub.status.busy": "2024-06-01T16:25:16.559439Z",
-     "iopub.status.idle": "2024-06-01T16:25:17.187085Z",
-     "shell.execute_reply": "2024-06-01T16:25:17.186532Z"
+     "iopub.execute_input": "2024-06-03T10:38:38.265098Z",
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+     "shell.execute_reply": "2024-06-03T10:38:38.831209Z"
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    "outputs": [
@@ -33,11 +33,11 @@
       "IPython version      : 8.12.3\n",
       "\n",
       "qutip      : 4.7.6\n",
+      "krotov     : 1.3.0\n",
+      "weylchamber: 0.4.0\n",
       "scipy      : 1.10.1\n",
-      "numpy      : 1.24.4\n",
       "matplotlib : 3.7.5\n",
-      "krotov     : 1.2.1+dev\n",
-      "weylchamber: 0.4.0\n",
+      "numpy      : 1.24.4\n",
       "\n"
      ]
     }
@@ -147,10 +147,10 @@
    "execution_count": 2,
    "metadata": {
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@@ -192,10 +192,10 @@
    "execution_count": 3,
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+     "shell.execute_reply": "2024-06-03T10:38:38.865876Z"
     }
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    "outputs": [],
@@ -216,10 +216,10 @@
      "n": "10"
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     "execution": {
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-     "shell.execute_reply": "2024-06-01T16:25:17.228950Z"
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@@ -240,10 +240,10 @@
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@@ -274,10 +274,10 @@
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@@ -332,10 +332,10 @@
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@@ -358,10 +358,10 @@
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@@ -410,10 +410,10 @@
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@@ -428,10 +428,10 @@
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    "outputs": [
@@ -466,10 +466,10 @@
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    "outputs": [
@@ -585,10 +585,10 @@
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@@ -657,10 +657,10 @@
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@@ -751,10 +751,10 @@
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@@ -825,10 +825,10 @@
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    "outputs": [],
@@ -860,10 +860,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:17.485929Z",
-     "iopub.status.busy": "2024-06-01T16:25:17.485754Z",
-     "iopub.status.idle": "2024-06-01T16:25:17.489932Z",
-     "shell.execute_reply": "2024-06-01T16:25:17.489419Z"
+     "iopub.execute_input": "2024-06-03T10:38:39.074329Z",
+     "iopub.status.busy": "2024-06-03T10:38:39.074178Z",
+     "iopub.status.idle": "2024-06-03T10:38:39.078086Z",
+     "shell.execute_reply": "2024-06-03T10:38:39.077651Z"
     }
    },
    "outputs": [],
@@ -895,10 +895,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:17.492060Z",
-     "iopub.status.busy": "2024-06-01T16:25:17.491851Z",
-     "iopub.status.idle": "2024-06-01T16:25:17.494749Z",
-     "shell.execute_reply": "2024-06-01T16:25:17.494236Z"
+     "iopub.execute_input": "2024-06-03T10:38:39.080021Z",
+     "iopub.status.busy": "2024-06-03T10:38:39.079827Z",
+     "iopub.status.idle": "2024-06-03T10:38:39.082494Z",
+     "shell.execute_reply": "2024-06-03T10:38:39.082048Z"
     }
    },
    "outputs": [],
@@ -917,10 +917,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:17.496759Z",
-     "iopub.status.busy": "2024-06-01T16:25:17.496551Z",
-     "iopub.status.idle": "2024-06-01T16:25:58.155330Z",
-     "shell.execute_reply": "2024-06-01T16:25:58.154729Z"
+     "iopub.execute_input": "2024-06-03T10:38:39.084335Z",
+     "iopub.status.busy": "2024-06-03T10:38:39.084148Z",
+     "iopub.status.idle": "2024-06-03T10:39:15.447707Z",
+     "shell.execute_reply": "2024-06-03T10:39:15.447189Z"
     }
    },
    "outputs": [
@@ -946,7 +946,7 @@
       "    S(t) (ranges): [0.000000, 1.000000]\n",
       "    iter_start: 0\n",
       "    iter_stop: 20\n",
-      "    duration: 1.9 secs (started at 2024-06-01 18:25:17)\n",
+      "    duration: 1.7 secs (started at 2024-06-03 12:38:39)\n",
       "    optimized pulses (ranges): [0.00, 0.30]\n",
       "    ∫gₐ(t)dt: 0.00e+00\n",
       "    λₐ: 1.00e+02\n",
@@ -967,7 +967,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 1\n",
-      "    duration: 4.8 secs (started at 2024-06-01 18:25:19)\n",
+      "    duration: 4.3 secs (started at 2024-06-03 12:38:40)\n",
       "    optimized pulses (ranges): [0.00, 0.32]\n",
       "    ∫gₐ(t)dt: 2.58e-01\n",
       "    λₐ: 1.00e+02\n",
@@ -988,7 +988,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 2\n",
-      "    duration: 4.8 secs (started at 2024-06-01 18:25:24)\n",
+      "    duration: 4.4 secs (started at 2024-06-03 12:38:45)\n",
       "    optimized pulses (ranges): [0.00, 0.34]\n",
       "    ∫gₐ(t)dt: 2.20e-01\n",
       "    λₐ: 1.00e+02\n",
@@ -1009,7 +1009,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 3\n",
-      "    duration: 4.8 secs (started at 2024-06-01 18:25:29)\n",
+      "    duration: 4.3 secs (started at 2024-06-03 12:38:49)\n",
       "    optimized pulses (ranges): [0.00, 0.35]\n",
       "    ∫gₐ(t)dt: 1.46e-01\n",
       "    λₐ: 1.00e+02\n",
@@ -1030,7 +1030,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 4\n",
-      "    duration: 4.8 secs (started at 2024-06-01 18:25:33)\n",
+      "    duration: 4.4 secs (started at 2024-06-03 12:38:53)\n",
       "    optimized pulses (ranges): [0.00, 0.37]\n",
       "    ∫gₐ(t)dt: 7.72e-02\n",
       "    λₐ: 1.00e+02\n",
@@ -1051,7 +1051,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 5\n",
-      "    duration: 4.8 secs (started at 2024-06-01 18:25:38)\n",
+      "    duration: 4.3 secs (started at 2024-06-03 12:38:58)\n",
       "    optimized pulses (ranges): [0.00, 0.37]\n",
       "    ∫gₐ(t)dt: 3.88e-02\n",
       "    λₐ: 1.00e+02\n",
@@ -1072,7 +1072,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 6\n",
-      "    duration: 4.8 secs (started at 2024-06-01 18:25:43)\n",
+      "    duration: 4.3 secs (started at 2024-06-03 12:39:02)\n",
       "    optimized pulses (ranges): [0.00, 0.38]\n",
       "    ∫gₐ(t)dt: 2.03e-02\n",
       "    λₐ: 1.00e+02\n",
@@ -1093,7 +1093,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 7\n",
-      "    duration: 4.9 secs (started at 2024-06-01 18:25:48)\n",
+      "    duration: 4.3 secs (started at 2024-06-03 12:39:06)\n",
       "    optimized pulses (ranges): [0.00, 0.39]\n",
       "    ∫gₐ(t)dt: 1.13e-02\n",
       "    λₐ: 1.00e+02\n",
@@ -1114,7 +1114,7 @@
      "output_type": "stream",
      "text": [
       "Iteration 8\n",
-      "    duration: 4.8 secs (started at 2024-06-01 18:25:53)\n",
+      "    duration: 4.3 secs (started at 2024-06-03 12:39:11)\n",
       "    optimized pulses (ranges): [0.00, 0.39]\n",
       "    ∫gₐ(t)dt: 6.68e-03\n",
       "    λₐ: 1.00e+02\n",
@@ -1152,10 +1152,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:58.157561Z",
-     "iopub.status.busy": "2024-06-01T16:25:58.157378Z",
-     "iopub.status.idle": "2024-06-01T16:25:58.160807Z",
-     "shell.execute_reply": "2024-06-01T16:25:58.160411Z"
+     "iopub.execute_input": "2024-06-03T10:39:15.449812Z",
+     "iopub.status.busy": "2024-06-03T10:39:15.449623Z",
+     "iopub.status.idle": "2024-06-03T10:39:15.453232Z",
+     "shell.execute_reply": "2024-06-03T10:39:15.452842Z"
     }
    },
    "outputs": [
@@ -1164,11 +1164,11 @@
       "text/plain": [
        "Krotov Optimization Result\n",
        "--------------------------\n",
-       "- Started at 2024-06-01 18:25:17\n",
+       "- Started at 2024-06-03 12:38:39\n",
        "- Number of objectives: 4\n",
        "- Number of iterations: 8\n",
        "- Reason for termination: Reached convergence: achieved perfect entangler\n",
-       "- Ended at 2024-06-01 18:25:58 (0:00:41)"
+       "- Ended at 2024-06-03 12:39:15 (0:00:36)"
       ]
      },
      "execution_count": 19,
@@ -1195,16 +1195,44 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:58.163071Z",
-     "iopub.status.busy": "2024-06-01T16:25:58.162720Z",
-     "iopub.status.idle": "2024-06-01T16:25:58.957557Z",
-     "shell.execute_reply": "2024-06-01T16:25:58.956975Z"
+     "iopub.execute_input": "2024-06-03T10:39:15.455211Z",
+     "iopub.status.busy": "2024-06-03T10:39:15.455036Z",
+     "iopub.status.idle": "2024-06-03T10:39:16.163814Z",
+     "shell.execute_reply": "2024-06-03T10:39:16.163218Z"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmtt10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmb10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmss10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['DejaVu Sans Display'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1003.94x708.661 with 1 Axes>"
       ]
@@ -1238,10 +1266,10 @@
      "n": "17"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:58.959866Z",
-     "iopub.status.busy": "2024-06-01T16:25:58.959646Z",
-     "iopub.status.idle": "2024-06-01T16:25:59.074461Z",
-     "shell.execute_reply": "2024-06-01T16:25:59.073896Z"
+     "iopub.execute_input": "2024-06-03T10:39:16.165868Z",
+     "iopub.status.busy": "2024-06-03T10:39:16.165683Z",
+     "iopub.status.idle": "2024-06-03T10:39:16.270845Z",
+     "shell.execute_reply": "2024-06-03T10:39:16.270346Z"
     }
    },
    "outputs": [
diff --git a/docs/notebooks/08_example_ensemble.ipynb b/docs/notebooks/08_example_ensemble.ipynb
index 3e684368..7b30c1bb 100644
--- a/docs/notebooks/08_example_ensemble.ipynb
+++ b/docs/notebooks/08_example_ensemble.ipynb
@@ -21,10 +21,10 @@
      "n": "1"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:05.540307Z",
-     "iopub.status.busy": "2024-06-01T16:25:05.540063Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.176815Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.176211Z"
+     "iopub.execute_input": "2024-06-03T10:35:50.496774Z",
+     "iopub.status.busy": "2024-06-03T10:35:50.496597Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.021701Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.021120Z"
     }
    },
    "outputs": [
@@ -36,13 +36,13 @@
       "Python version       : 3.8.16\n",
       "IPython version      : 8.12.3\n",
       "\n",
-      "matplotlib: 3.7.5\n",
+      "krotov    : 1.3.0\n",
       "numpy     : 1.24.4\n",
-      "qutip     : 4.7.6\n",
-      "krotov    : 1.2.1+dev\n",
       "sys       : 3.8.16 (default, May 26 2024, 19:41:26) \n",
       "[GCC 12.2.0]\n",
+      "matplotlib: 3.7.5\n",
       "scipy     : 1.10.1\n",
+      "qutip     : 4.7.6\n",
       "\n"
      ]
     }
@@ -129,10 +129,10 @@
      "start_time": "2020-03-22T05:01:29.429149Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.205310Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.205045Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.209325Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.208903Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.048051Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.047795Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.051930Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.051469Z"
     }
    },
    "outputs": [],
@@ -168,10 +168,10 @@
      "start_time": "2020-03-22T05:01:29.443630Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.211502Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.211159Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.213700Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.213292Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.053786Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.053638Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.056472Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.055951Z"
     }
    },
    "outputs": [],
@@ -188,10 +188,10 @@
      "start_time": "2020-03-22T05:01:29.452425Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.215685Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.215523Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.220396Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.219981Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.058349Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.058202Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.063690Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.063274Z"
     }
    },
    "outputs": [],
@@ -229,10 +229,10 @@
      "start_time": "2020-03-22T05:01:29.470251Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.222531Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.222212Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.226365Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.225949Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.065522Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.065372Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.069519Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.069107Z"
     }
    },
    "outputs": [],
@@ -258,10 +258,10 @@
      "start_time": "2020-03-22T05:01:29.482710Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.228479Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.228311Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.232033Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.231599Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.071412Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.071263Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.074980Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.074565Z"
     }
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    "outputs": [],
@@ -280,10 +280,10 @@
      "start_time": "2020-03-22T05:01:29.497857Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.233986Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.233816Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.236525Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.235992Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.076812Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.076662Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.079240Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.078831Z"
     }
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    "outputs": [],
@@ -301,10 +301,10 @@
      "start_time": "2020-03-22T05:01:29.505632Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.238681Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.238326Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.240997Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.240457Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.081065Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.080916Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.083439Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.083027Z"
     }
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    "outputs": [],
@@ -321,10 +321,10 @@
      "start_time": "2020-03-22T05:01:29.514140Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.243211Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.242854Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.248946Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.248354Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.085565Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.085190Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.090874Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.090468Z"
     }
    },
    "outputs": [
@@ -372,10 +372,10 @@
      "start_time": "2020-03-22T05:01:29.525825Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.251299Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.250903Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.254174Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.253632Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.092752Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.092600Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.095498Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.094995Z"
     }
    },
    "outputs": [],
@@ -394,10 +394,10 @@
      "start_time": "2020-03-22T05:01:29.534230Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.256190Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.256018Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.259385Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.258957Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.097329Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.097180Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.100490Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.099969Z"
     }
    },
    "outputs": [],
@@ -416,10 +416,10 @@
      "start_time": "2020-03-22T05:01:29.542275Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.261382Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.261210Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.300846Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.300231Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.102344Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.102195Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.138469Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.138025Z"
     }
    },
    "outputs": [],
@@ -440,10 +440,10 @@
      "start_time": "2020-03-22T05:01:29.862369Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.303131Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.302813Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.306434Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.305899Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.140344Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.140192Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.143619Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.143123Z"
     }
    },
    "outputs": [],
@@ -468,10 +468,10 @@
      "start_time": "2020-03-22T05:01:29.879489Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.308559Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.308250Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.508681Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.508092Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.145578Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.145303Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.297880Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.297325Z"
     },
     "lines_to_next_cell": 2
    },
@@ -518,10 +518,10 @@
      "start_time": "2020-03-22T05:01:30.122273Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.510967Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.510780Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.514145Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.513707Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.300117Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.299935Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.303410Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.303009Z"
     }
    },
    "outputs": [],
@@ -553,10 +553,10 @@
      "start_time": "2020-03-22T05:01:30.131210Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.516255Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.516078Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.518828Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.518276Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.305356Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.305181Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.307897Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.307440Z"
     },
     "lines_to_next_cell": 2
    },
@@ -590,10 +590,10 @@
      "start_time": "2020-03-22T05:01:30.144877Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.520933Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.520758Z",
-     "iopub.status.idle": "2024-06-01T16:25:06.523744Z",
-     "shell.execute_reply": "2024-06-01T16:25:06.523219Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.309838Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.309663Z",
+     "iopub.status.idle": "2024-06-03T10:35:51.312620Z",
+     "shell.execute_reply": "2024-06-03T10:35:51.312127Z"
     }
    },
    "outputs": [],
@@ -612,10 +612,10 @@
      "start_time": "2020-03-22T05:01:30.156668Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:06.525813Z",
-     "iopub.status.busy": "2024-06-01T16:25:06.525637Z",
-     "iopub.status.idle": "2024-06-01T16:25:07.634650Z",
-     "shell.execute_reply": "2024-06-01T16:25:07.634057Z"
+     "iopub.execute_input": "2024-06-03T10:35:51.314469Z",
+     "iopub.status.busy": "2024-06-03T10:35:51.314295Z",
+     "iopub.status.idle": "2024-06-03T10:35:52.298480Z",
+     "shell.execute_reply": "2024-06-03T10:35:52.297878Z"
     },
     "lines_to_next_cell": 2
    },
@@ -637,10 +637,10 @@
      "start_time": "2020-03-22T05:01:40.684478Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:07.637226Z",
-     "iopub.status.busy": "2024-06-01T16:25:07.637041Z",
-     "iopub.status.idle": "2024-06-01T16:25:07.641561Z",
-     "shell.execute_reply": "2024-06-01T16:25:07.641131Z"
+     "iopub.execute_input": "2024-06-03T10:35:52.300925Z",
+     "iopub.status.busy": "2024-06-03T10:35:52.300744Z",
+     "iopub.status.idle": "2024-06-03T10:35:52.305295Z",
+     "shell.execute_reply": "2024-06-03T10:35:52.304889Z"
     }
    },
    "outputs": [],
@@ -675,13 +675,41 @@
      "start_time": "2020-03-22T05:01:40.696343Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:07.643546Z",
-     "iopub.status.busy": "2024-06-01T16:25:07.643378Z",
-     "iopub.status.idle": "2024-06-01T16:25:08.382339Z",
-     "shell.execute_reply": "2024-06-01T16:25:08.381779Z"
+     "iopub.execute_input": "2024-06-03T10:35:52.307166Z",
+     "iopub.status.busy": "2024-06-03T10:35:52.306993Z",
+     "iopub.status.idle": "2024-06-03T10:35:53.004439Z",
+     "shell.execute_reply": "2024-06-03T10:35:53.003888Z"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmtt10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmb10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['cmss10'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:matplotlib.font_manager:findfont: Font family ['DejaVu Sans Display'] not found. Falling back to DejaVu Sans.\n"
+     ]
+    },
     {
      "data": {
       "image/png": 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",
@@ -736,10 +764,10 @@
      "start_time": "2020-03-22T05:01:41.456749Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:08.384644Z",
-     "iopub.status.busy": "2024-06-01T16:25:08.384467Z",
-     "iopub.status.idle": "2024-06-01T16:25:08.387180Z",
-     "shell.execute_reply": "2024-06-01T16:25:08.386643Z"
+     "iopub.execute_input": "2024-06-03T10:35:53.006801Z",
+     "iopub.status.busy": "2024-06-03T10:35:53.006612Z",
+     "iopub.status.idle": "2024-06-03T10:35:53.009449Z",
+     "shell.execute_reply": "2024-06-03T10:35:53.008942Z"
     }
    },
    "outputs": [],
@@ -763,10 +791,10 @@
      "start_time": "2020-03-22T05:01:41.474312Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:08.389200Z",
-     "iopub.status.busy": "2024-06-01T16:25:08.389032Z",
-     "iopub.status.idle": "2024-06-01T16:25:08.393020Z",
-     "shell.execute_reply": "2024-06-01T16:25:08.392602Z"
+     "iopub.execute_input": "2024-06-03T10:35:53.011672Z",
+     "iopub.status.busy": "2024-06-03T10:35:53.011362Z",
+     "iopub.status.idle": "2024-06-03T10:35:53.015977Z",
+     "shell.execute_reply": "2024-06-03T10:35:53.015507Z"
     }
    },
    "outputs": [],
@@ -792,10 +820,10 @@
      "start_time": "2020-03-22T05:01:41.492908Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:08.395279Z",
-     "iopub.status.busy": "2024-06-01T16:25:08.394888Z",
-     "iopub.status.idle": "2024-06-01T16:25:08.399532Z",
-     "shell.execute_reply": "2024-06-01T16:25:08.398998Z"
+     "iopub.execute_input": "2024-06-03T10:35:53.017910Z",
+     "iopub.status.busy": "2024-06-03T10:35:53.017759Z",
+     "iopub.status.idle": "2024-06-03T10:35:53.022102Z",
+     "shell.execute_reply": "2024-06-03T10:35:53.021715Z"
     }
    },
    "outputs": [
@@ -852,10 +880,10 @@
      "start_time": "2020-03-22T05:01:41.506536Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:08.401893Z",
-     "iopub.status.busy": "2024-06-01T16:25:08.401513Z",
-     "iopub.status.idle": "2024-06-01T16:25:08.405386Z",
-     "shell.execute_reply": "2024-06-01T16:25:08.404847Z"
+     "iopub.execute_input": "2024-06-03T10:35:53.024240Z",
+     "iopub.status.busy": "2024-06-03T10:35:53.024021Z",
+     "iopub.status.idle": "2024-06-03T10:35:53.027633Z",
+     "shell.execute_reply": "2024-06-03T10:35:53.027129Z"
     }
    },
    "outputs": [],
@@ -904,10 +932,10 @@
      "start_time": "2020-03-22T05:01:41.518139Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:08.407394Z",
-     "iopub.status.busy": "2024-06-01T16:25:08.407223Z",
-     "iopub.status.idle": "2024-06-01T16:25:08.411093Z",
-     "shell.execute_reply": "2024-06-01T16:25:08.410543Z"
+     "iopub.execute_input": "2024-06-03T10:35:53.029577Z",
+     "iopub.status.busy": "2024-06-03T10:35:53.029430Z",
+     "iopub.status.idle": "2024-06-03T10:35:53.033214Z",
+     "shell.execute_reply": "2024-06-03T10:35:53.032725Z"
     }
    },
    "outputs": [],
@@ -948,10 +976,10 @@
      "start_time": "2020-03-22T05:01:41.528504Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:08.413349Z",
-     "iopub.status.busy": "2024-06-01T16:25:08.412971Z",
-     "iopub.status.idle": "2024-06-01T16:25:08.416388Z",
-     "shell.execute_reply": "2024-06-01T16:25:08.415836Z"
+     "iopub.execute_input": "2024-06-03T10:35:53.035095Z",
+     "iopub.status.busy": "2024-06-03T10:35:53.034948Z",
+     "iopub.status.idle": "2024-06-03T10:35:53.038293Z",
+     "shell.execute_reply": "2024-06-03T10:35:53.037801Z"
     }
    },
    "outputs": [],
@@ -984,10 +1012,10 @@
      "n": "16"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:25:08.418630Z",
-     "iopub.status.busy": "2024-06-01T16:25:08.418274Z",
-     "iopub.status.idle": "2024-06-01T16:27:43.684612Z",
-     "shell.execute_reply": "2024-06-01T16:27:43.683996Z"
+     "iopub.execute_input": "2024-06-03T10:35:53.040255Z",
+     "iopub.status.busy": "2024-06-03T10:35:53.040108Z",
+     "iopub.status.idle": "2024-06-03T10:38:23.963747Z",
+     "shell.execute_reply": "2024-06-03T10:38:23.963225Z"
     }
    },
    "outputs": [
@@ -1128,10 +1156,10 @@
      "start_time": "2020-03-22T05:06:03.287117Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:43.687018Z",
-     "iopub.status.busy": "2024-06-01T16:27:43.686841Z",
-     "iopub.status.idle": "2024-06-01T16:27:43.694449Z",
-     "shell.execute_reply": "2024-06-01T16:27:43.693929Z"
+     "iopub.execute_input": "2024-06-03T10:38:23.965960Z",
+     "iopub.status.busy": "2024-06-03T10:38:23.965774Z",
+     "iopub.status.idle": "2024-06-03T10:38:23.973424Z",
+     "shell.execute_reply": "2024-06-03T10:38:23.972921Z"
     }
    },
    "outputs": [
@@ -1196,10 +1224,10 @@
      "start_time": "2020-03-22T05:06:03.349278Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:43.696775Z",
-     "iopub.status.busy": "2024-06-01T16:27:43.696540Z",
-     "iopub.status.idle": "2024-06-01T16:27:43.700092Z",
-     "shell.execute_reply": "2024-06-01T16:27:43.699656Z"
+     "iopub.execute_input": "2024-06-03T10:38:23.975332Z",
+     "iopub.status.busy": "2024-06-03T10:38:23.975156Z",
+     "iopub.status.idle": "2024-06-03T10:38:23.979223Z",
+     "shell.execute_reply": "2024-06-03T10:38:23.978634Z"
     }
    },
    "outputs": [
@@ -1233,10 +1261,10 @@
      "start_time": "2020-03-22T05:06:03.360976Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:43.701902Z",
-     "iopub.status.busy": "2024-06-01T16:27:43.701750Z",
-     "iopub.status.idle": "2024-06-01T16:27:43.704992Z",
-     "shell.execute_reply": "2024-06-01T16:27:43.704551Z"
+     "iopub.execute_input": "2024-06-03T10:38:23.981072Z",
+     "iopub.status.busy": "2024-06-03T10:38:23.980922Z",
+     "iopub.status.idle": "2024-06-03T10:38:23.984264Z",
+     "shell.execute_reply": "2024-06-03T10:38:23.983734Z"
     }
    },
    "outputs": [],
@@ -1266,10 +1294,10 @@
      "start_time": "2020-03-22T05:06:03.369715Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:43.706967Z",
-     "iopub.status.busy": "2024-06-01T16:27:43.706772Z",
-     "iopub.status.idle": "2024-06-01T16:27:44.032216Z",
-     "shell.execute_reply": "2024-06-01T16:27:44.031617Z"
+     "iopub.execute_input": "2024-06-03T10:38:23.986158Z",
+     "iopub.status.busy": "2024-06-03T10:38:23.986009Z",
+     "iopub.status.idle": "2024-06-03T10:38:24.316731Z",
+     "shell.execute_reply": "2024-06-03T10:38:24.316154Z"
     }
    },
    "outputs": [
@@ -1353,10 +1381,10 @@
      "start_time": "2020-03-22T05:06:04.277559Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:44.034261Z",
-     "iopub.status.busy": "2024-06-01T16:27:44.034098Z",
-     "iopub.status.idle": "2024-06-01T16:27:44.069933Z",
-     "shell.execute_reply": "2024-06-01T16:27:44.069439Z"
+     "iopub.execute_input": "2024-06-03T10:38:24.318698Z",
+     "iopub.status.busy": "2024-06-03T10:38:24.318537Z",
+     "iopub.status.idle": "2024-06-03T10:38:24.353835Z",
+     "shell.execute_reply": "2024-06-03T10:38:24.353316Z"
     }
    },
    "outputs": [],
@@ -1375,10 +1403,10 @@
      "start_time": "2020-03-22T05:06:04.616827Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:44.071891Z",
-     "iopub.status.busy": "2024-06-01T16:27:44.071668Z",
-     "iopub.status.idle": "2024-06-01T16:27:44.188269Z",
-     "shell.execute_reply": "2024-06-01T16:27:44.187690Z"
+     "iopub.execute_input": "2024-06-03T10:38:24.355730Z",
+     "iopub.status.busy": "2024-06-03T10:38:24.355576Z",
+     "iopub.status.idle": "2024-06-03T10:38:24.472245Z",
+     "shell.execute_reply": "2024-06-03T10:38:24.471702Z"
     }
    },
    "outputs": [
@@ -1427,10 +1455,10 @@
      "start_time": "2020-03-22T05:06:04.827766Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:44.190356Z",
-     "iopub.status.busy": "2024-06-01T16:27:44.190198Z",
-     "iopub.status.idle": "2024-06-01T16:27:44.193645Z",
-     "shell.execute_reply": "2024-06-01T16:27:44.193108Z"
+     "iopub.execute_input": "2024-06-03T10:38:24.474223Z",
+     "iopub.status.busy": "2024-06-03T10:38:24.474067Z",
+     "iopub.status.idle": "2024-06-03T10:38:24.477318Z",
+     "shell.execute_reply": "2024-06-03T10:38:24.476861Z"
     }
    },
    "outputs": [
@@ -1455,10 +1483,10 @@
      "start_time": "2020-03-22T05:06:04.834702Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:44.195563Z",
-     "iopub.status.busy": "2024-06-01T16:27:44.195415Z",
-     "iopub.status.idle": "2024-06-01T16:27:52.595513Z",
-     "shell.execute_reply": "2024-06-01T16:27:52.594962Z"
+     "iopub.execute_input": "2024-06-03T10:38:24.479202Z",
+     "iopub.status.busy": "2024-06-03T10:38:24.478995Z",
+     "iopub.status.idle": "2024-06-03T10:38:32.900613Z",
+     "shell.execute_reply": "2024-06-03T10:38:32.899972Z"
     }
    },
    "outputs": [
@@ -1530,10 +1558,10 @@
      "start_time": "2020-03-22T05:06:16.592668Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:52.597682Z",
-     "iopub.status.busy": "2024-06-01T16:27:52.597493Z",
-     "iopub.status.idle": "2024-06-01T16:27:53.616271Z",
-     "shell.execute_reply": "2024-06-01T16:27:53.615670Z"
+     "iopub.execute_input": "2024-06-03T10:38:32.903152Z",
+     "iopub.status.busy": "2024-06-03T10:38:32.902952Z",
+     "iopub.status.idle": "2024-06-03T10:38:33.885938Z",
+     "shell.execute_reply": "2024-06-03T10:38:33.885370Z"
     }
    },
    "outputs": [],
@@ -1556,10 +1584,10 @@
      "start_time": "2020-03-22T05:06:25.332449Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:53.618483Z",
-     "iopub.status.busy": "2024-06-01T16:27:53.618289Z",
-     "iopub.status.idle": "2024-06-01T16:27:54.663794Z",
-     "shell.execute_reply": "2024-06-01T16:27:54.663190Z"
+     "iopub.execute_input": "2024-06-03T10:38:33.888096Z",
+     "iopub.status.busy": "2024-06-03T10:38:33.887938Z",
+     "iopub.status.idle": "2024-06-03T10:38:34.894530Z",
+     "shell.execute_reply": "2024-06-03T10:38:34.893871Z"
     }
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    "outputs": [],
@@ -1580,10 +1608,10 @@
      "start_time": "2020-03-22T05:06:34.911667Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:27:54.665972Z",
-     "iopub.status.busy": "2024-06-01T16:27:54.665816Z",
-     "iopub.status.idle": "2024-06-01T16:27:54.913097Z",
-     "shell.execute_reply": "2024-06-01T16:27:54.912546Z"
+     "iopub.execute_input": "2024-06-03T10:38:34.896840Z",
+     "iopub.status.busy": "2024-06-03T10:38:34.896653Z",
+     "iopub.status.idle": "2024-06-03T10:38:35.177508Z",
+     "shell.execute_reply": "2024-06-03T10:38:35.177098Z"
     }
    },
    "outputs": [
diff --git a/docs/notebooks/09_example_numpy.ipynb b/docs/notebooks/09_example_numpy.ipynb
index 84f4b708..01b915dd 100644
--- a/docs/notebooks/09_example_numpy.ipynb
+++ b/docs/notebooks/09_example_numpy.ipynb
@@ -21,10 +21,10 @@
      "n": "1"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:22.899933Z",
-     "iopub.status.busy": "2024-06-01T16:24:22.899602Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.593664Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.592968Z"
+     "iopub.execute_input": "2024-06-03T10:32:09.544235Z",
+     "iopub.status.busy": "2024-06-03T10:32:09.544062Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.077876Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.077317Z"
     }
    },
    "outputs": [
@@ -36,10 +36,10 @@
       "Python version       : 3.8.16\n",
       "IPython version      : 8.12.3\n",
       "\n",
-      "numpy     : 1.24.4\n",
+      "krotov    : 1.3.0\n",
       "scipy     : 1.10.1\n",
       "matplotlib: 3.7.5\n",
-      "krotov    : 1.2.1+dev\n",
+      "numpy     : 1.24.4\n",
       "\n"
      ]
     }
@@ -129,10 +129,10 @@
      "start_time": "2020-03-24T21:13:40.847535Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.622897Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.622272Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.627013Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.626377Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.107387Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.107103Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.111392Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.110906Z"
     }
    },
    "outputs": [],
@@ -164,10 +164,10 @@
      "start_time": "2020-03-24T21:13:40.865354Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.629217Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.629035Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.631843Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.631202Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.113342Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.113151Z",
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+     "shell.execute_reply": "2024-06-03T10:32:10.115135Z"
     },
     "lines_to_next_cell": 2
    },
@@ -196,10 +196,10 @@
      "start_time": "2020-03-24T21:13:40.876732Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.634042Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.633868Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.636512Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.635955Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.117573Z",
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+     "iopub.status.idle": "2024-06-03T10:32:10.119834Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.119351Z"
     }
    },
    "outputs": [],
@@ -223,10 +223,10 @@
      "start_time": "2020-03-24T21:13:40.883324Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.638921Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.638651Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.641901Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.641346Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.121782Z",
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+     "shell.execute_reply": "2024-06-03T10:32:10.123936Z"
     }
    },
    "outputs": [],
@@ -251,10 +251,10 @@
      "start_time": "2020-03-24T21:13:40.891777Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.644060Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.643842Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.649605Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.649015Z"
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+     "shell.execute_reply": "2024-06-03T10:32:10.131306Z"
     }
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    "outputs": [
@@ -306,10 +306,10 @@
      "start_time": "2020-03-24T21:13:40.905293Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.651695Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.651531Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.655054Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.654615Z"
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+     "iopub.status.busy": "2024-06-03T10:32:10.133654Z",
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     }
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    "outputs": [],
@@ -341,10 +341,10 @@
      "start_time": "2020-03-24T21:13:40.917919Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.657116Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.656951Z",
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-     "shell.execute_reply": "2024-06-01T16:24:23.659373Z"
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+     "shell.execute_reply": "2024-06-03T10:32:10.141086Z"
     }
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    "outputs": [],
@@ -371,10 +371,10 @@
      "start_time": "2020-03-24T21:13:40.926588Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.662060Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.661815Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.664490Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.663925Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.143527Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.143369Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.146007Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.145531Z"
     }
    },
    "outputs": [],
@@ -400,10 +400,10 @@
      "start_time": "2020-03-24T21:13:40.933147Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.666476Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.666318Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.669016Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.668571Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.148001Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.147811Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.150343Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.149867Z"
     }
    },
    "outputs": [],
@@ -425,10 +425,10 @@
      "n": "12"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.671311Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.671105Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.735907Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.735274Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.152322Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.152132Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.223699Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.223236Z"
     }
    },
    "outputs": [],
@@ -452,10 +452,10 @@
      "n": "13"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.738547Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.738072Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.742372Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.741789Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.225618Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.225388Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.228433Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.227969Z"
     }
    },
    "outputs": [],
@@ -484,10 +484,10 @@
      "n": "14"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.744726Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.744437Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.958988Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.958364Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.230359Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.230203Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.377278Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.376788Z"
     }
    },
    "outputs": [
@@ -526,10 +526,10 @@
      "start_time": "2020-03-24T21:13:41.397827Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.961412Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.961101Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.964730Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.964018Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.379362Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.379205Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.382230Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.381780Z"
     }
    },
    "outputs": [],
@@ -550,10 +550,10 @@
      "start_time": "2020-03-24T21:13:41.406924Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.967061Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.966865Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.969812Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.969288Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.384142Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.383964Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.386559Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.386109Z"
     }
    },
    "outputs": [],
@@ -586,10 +586,10 @@
      "start_time": "2020-03-24T21:13:41.415715Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.972089Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.971911Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.974804Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.974357Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.388498Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.388350Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.391084Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.390634Z"
     }
    },
    "outputs": [],
@@ -617,10 +617,10 @@
      "start_time": "2020-03-24T21:13:41.427434Z"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.976963Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.976777Z",
-     "iopub.status.idle": "2024-06-01T16:24:23.979602Z",
-     "shell.execute_reply": "2024-06-01T16:24:23.979203Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.393128Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.392908Z",
+     "iopub.status.idle": "2024-06-03T10:32:10.395372Z",
+     "shell.execute_reply": "2024-06-03T10:32:10.394924Z"
     }
    },
    "outputs": [],
@@ -658,10 +658,10 @@
      "n": "15"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:23.981745Z",
-     "iopub.status.busy": "2024-06-01T16:24:23.981499Z",
-     "iopub.status.idle": "2024-06-01T16:24:25.089809Z",
-     "shell.execute_reply": "2024-06-01T16:24:25.089187Z"
+     "iopub.execute_input": "2024-06-03T10:32:10.397329Z",
+     "iopub.status.busy": "2024-06-03T10:32:10.397181Z",
+     "iopub.status.idle": "2024-06-03T10:32:11.392602Z",
+     "shell.execute_reply": "2024-06-03T10:32:11.392046Z"
     }
    },
    "outputs": [
@@ -774,10 +774,10 @@
      "n": "16"
     },
     "execution": {
-     "iopub.execute_input": "2024-06-01T16:24:25.092055Z",
-     "iopub.status.busy": "2024-06-01T16:24:25.091855Z",
-     "iopub.status.idle": "2024-06-01T16:24:25.095563Z",
-     "shell.execute_reply": "2024-06-01T16:24:25.095138Z"
+     "iopub.execute_input": "2024-06-03T10:32:11.394706Z",
+     "iopub.status.busy": "2024-06-03T10:32:11.394522Z",
+     "iopub.status.idle": "2024-06-03T10:32:11.398301Z",
+     "shell.execute_reply": "2024-06-03T10:32:11.397920Z"
     }
    },
    "outputs": [
@@ -786,11 +786,11 @@
       "text/plain": [
        "Krotov Optimization Result\n",
        "--------------------------\n",
-       "- Started at 2024-06-01 18:24:24\n",
+       "- Started at 2024-06-03 12:32:10\n",
        "- Number of objectives: 1\n",
        "- Number of iterations: 10\n",
        "- Reason for termination: Reached 10 iterations\n",
-       "- Ended at 2024-06-01 18:24:25 (0:00:01)"
+       "- Ended at 2024-06-03 12:32:11 (0:00:01)"
       ]
      },
      "execution_count": 19,
diff --git a/src/krotov/__init__.py b/src/krotov/__init__.py
index 5f9a662f..8f1c0666 100644
--- a/src/krotov/__init__.py
+++ b/src/krotov/__init__.py
@@ -13,7 +13,7 @@
 """
 # fmt: off
 
-__version__ = '1.2.1+dev'
+__version__ = '1.3.0'
 
 __arxiv__ = '1902.11284'