toqito 1.0.8

Python toolkit for quantum information theory

(Theory of Quantum Information Toolkit)

The toqito package is an open-source Python library for studying various objects in quantum information, namely, states, channels, and measurements.

Specifically, toqito focuses on providing numerical tools to study problems about entanglement theory, nonlocal games, matrix analysis, and other aspects of quantum information that are often associated with computer science.

toqito aims to fill the needs of quantum information researchers who want numerical and computational tools for manipulating quantum states, measurements, and channels. It can also be used as a tool to enhance the experience of students and instructors in classes about quantum information.

Installing

The preferred way to install the toqito package is via pip:

pip install toqito

Alternatively, to install, you may also run the following command from the top-level package directory.

python setup.py install

Using

Full documentation along with specific examples and tutorials are provided here: https://toqito.readthedocs.io/.

More information can also be found on the following toqito homepage.

Chat with us in our Toqito channel on Discord.

Testing

The pytest module is used for testing. To run the suite of tests for toqito, run the following command in the root directory of this project.

pytest --cov-report term-missing --cov=toqito

Citing

You can cite toqito using the following DOI: 10.5281/zenodo.4743211

If you are using the toqito software package in research work, please include an explicit mention of toqito in your publication. Something along the lines of:

To solve problem "X" we used `toqito`; a package for studying certain
aspects of quantum information.

A BibTeX entry that you can use to cite toqito is provided here:

@misc{toqito,
   author       = {Vincent Russo},
   title        = {toqito: A {P}ython toolkit for quantum information, version 1.0.0},
   howpublished = {\url{https://github.com/vprusso/toqito}},
   month        = May,
   year         = 2021,
   doi          = {10.5281/zenodo.4743211}
 }

The toqito project has been used or referenced in the following works:

• Tavakoli, Armin and Pozas-Kerstjens, Alejandro and Brown, Peter and Araújo, Mateus "Semidefinite programming relaxations for quantum correlations" arXiv preprint arxiv:2307.02551 (2023).

• Johnston, Nathaniel and Russo, Vincent and Sikora, Jamie "Tight bounds for antidistinguishability and circulant sets of pure quantum states", arXiv preprint arXiv:2311.17047 (2023).

• Pelofske, Elijah and Bartschi, Andreas and Eidenbenz, Stephan and Garcia, Bryan and Kiefer, Boris "Probing Quantum Telecloning on Superconducting Quantum Processors", arXiv preprint arXiv:2308.15579 (2023).

• Philip, Aby and Rethinasamy, Soorya and Russo, Vincent and Wilde, Mark. "Quantum Steering Algorithm for Estimating Fidelity of Separability." arXiv preprint arXiv:2303.07911 (2023).

• Miszczak, Jarosław Adam. "Symbolic quantum programming for supporting applications of quantum computing technologies." arXiv preprint arXiv:2302.09401 (2023).

• Casalé, Balthazar and Di Molfetta, Giuseppe and Anthoine, Sandrine and Kadri, Hachem. "Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens." arXiv preprint arXiv:2306.09444 (2023).

Contributing

All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.

A detailed overview of how to contribute can be found in the contributing guide.

License

MIT License