Python implementation of Krotov's method for quantum optimal control
Krotov Python Package
Python implementation of Krotov’s method for quantum optimal control.
This implementation follows the original implementation in the QDYN Fortran library. The method is described in detail in D. M. Reich, M. Ndong, and C. P. Koch, J. Chem. Phys. 136, 104103 (2012) (arXiv:1008.5126)
The krotov package is built on top of QuTiP.
The Krotov package is available for Python versions >= 3.5. Its main dependency is QuTiP (apart from the core packages of the Python scientific ecosystem). Thus, you should consider QuTiP’s installation instructions.
In any case, using some sort of virtual environment is strongly encouraged. Most packages in the Python scientific ecosystem are now available as wheels, making installation via pip easy. However, QuTiP currently does not provide wheels. Thus, on systems that do not have the necessary compilers installed (Windows, macOS), the conda package manager provides a good solution.
Assuming conda is installed (e.g. through Miniconda), the following commands set up a virtual (conda) environment into which the Krotov package can then be installed:
$ conda create -n qucontrolenv python=3.6 $ conda activate qucontrolenv $ conda config --append channels conda-forge $ conda install qutip
To install the latest released version of krotov into your current (conda) environment, run this command in your terminal:
$ pip install krotov
This is the preferred method to install the krotov package, as it will always install the most recent stable release.
You may also do
$ pip install krotov[dev,extras]
to install additional development dependencies, including packages required to run the example notebooks.
Note: the latest released version is a placeholder release that is non-functional
To install the latest development version of krotov from Github:
$ pip install git+https://github.com/qucontrol/krotov.git@master#egg=krotov
To use Krotov’s method for quantum optimal control in a Python script or Jupyter notebook, start with:
- define the necessary quantum operators and states using QuTiP.
- create a list of objectives, as instances of krotov.Objective
- call krotov.optimize_pulses to perform an optimization of an arbitrary number of control fields over all the objectives.
- Initial release with complete implementatin of first-order Krotov’s method
- Support for state-to-state and gate optimization, for both closed and open systems
- Non-functional placeholder release
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size krotov-0.1.0-py2.py3-none-any.whl (35.4 kB)||File type Wheel||Python version py2.py3||Upload date||Hashes View hashes|
|Filename, size krotov-0.1.0.tar.gz (1.1 MB)||File type Source||Python version None||Upload date||Hashes View hashes|
Hashes for krotov-0.1.0-py2.py3-none-any.whl