TimeEvolvingMPO

A Python 3 package to efficiently compute non-Markovian open quantum systems.

This open source project aims to facilitate versatile numerical tools to efficiently compute the dynamics of quantum systems that are possibly strongly coupled to a structured environment. It allows to conveniently apply the so called time evolving matrix product operator method (TEMPO) [1], as well as the process tensor TEMPO method (PT-TEMPO) [2].

• [1] A. Strathearn, P. Kirton, D. Kilda, J. Keeling and B. W. Lovett, Efficient non-Markovian quantum dynamics using time-evolving matrix product operators, Nat. Commun. 9, 3322 (2018).
• [2] G. E. Fux, E. Butler, P. R. Eastham, B. W. Lovett, and J. Keeling, Efficient exploration of Hamiltonian parameter space for optimal control of non-Markovian open quantum systems, Phys. Rev. Lett. 126, 200401(2021).

Links

• Github: https://github.com/tempoCollaboration/TimeEvolvingMPO
• Documentation: https://TimeEvolvingMPO.readthedocs.io
• PyPI: https://pypi.org/project/time-evolving-mpo/
• Tutorial:

Installation

You can install TimeEvolvingMPO using pip like this:

$ python3 -m pip install time_evolving_mpo

See the documentation for more information.

Quickstart Tutorial

Click the launch binder button above to start a tutorial in a browser based jupyter notebook (no installation required) or checkout the tutorial in the documentation.

Contributing

Contributions of all kinds are welcome! Get in touch if you ...

• ... found a bug.
• ... have a question on how to use the code.
• ... have a suggestion, on how to improve the code or documentation.
• ... would like to get involved in writing code or documentation.
• ... have some other thoughts or suggestions.

Please, feel free to file an issue in the Issues section on GitHub for this. Also, have a look at CONTRIBUTING.md if you want to get involved in the development.

Citing, Authors and Bibliography

See the files HOW_TO_CITE.md, AUTHORS.md and BIBLIOGRAPHY.md.