QuGradLab

An extension to the Python package QuGrad (doi:10.5281/zenodo.17116721) that implements common Hilbert space structures, Hamiltonians, and pulse shapes for quantum control.

Installation

The python package can be installed with pip as follows:

pip install qugradlab

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:

• QuGrad (== 1.*) (doi:10.5281/zenodo.17116721)
• PySTE (== 1.*) (doi:10.5281/zenodo.17116431)
• TensorFlow (== 2.*)
• NumPy (>= 1.21, < 3)
• SciPy (== 1.*)

Additional requirements for testing

• toml
• PyYAML

Documentation

Documentation, including worked examples can be found at: https://QuGradLab.readthedocs.io

Source Code

Source code can be found at: https://github.com/Christopher-K-Long/QuGradLab

A mirror can be found at: https://gitlab.com/Christopher-K-Long/QuGradLab

Please submit all pull requests, issues, discussions, and vulnerability reports to the GitHub repository.

Releases from this repository are assigned DOIs and can be found at https://doi.org/10.5281/zenodo.17116725. The DOI for all releases is 10.5281/zenodo.17116725. Additionally, the releases are archived to https://archive.softwareheritage.org/swh:1:dir:66eaab3efbc90a0188c5851565b6bfb663bbfe39.

Version and Changes

The current version is 0.1.2. Please see the Change Log for more details. QuGradLab uses semantic versioning.