A Python package for quantum optimal control.
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Project description
QuGrad
A Python package for quantum optimal control.
Installation
The python package can be installed with pip as follows:
pip install qugrad
If on Linux and using a conda environment you may encounter an error
version `GLIBCXX_...' not found
to fix this you also need to execute:
conda install -c conda-forge libstdcxx-ng
Requirements
Requires:
- PySTE (== 1.*) (doi:10.5281/zenodo.17116431)
- TensorFlow (== 2.*)
- NumPy (>= 1.21, < 3)
Additional requirements for testing
Documentation
Documentation including worked examples can be found at: https://QuGrad.readthedocs.io
Source Code
Source code can be found at: https://github.com/Christopher-K-Long/QuGrad
Version and Changes
The current version is 1.0.2. Please see the Change Log for more details. QuGrad uses semantic versioning.
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