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

• toml
• PyYAML

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.