time-evolving-mpo

v0.1.2

A python3 library to efficiently compute non-markovian open quantum systems. For more information about how to use this package see README

Latest version published 4 years ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

56 / 100

security
Security review needed
popularity
Limited
maintenance
Inactive
community
Active

Popularity

Limited

GitHub Stars: 79
Forks: 27
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package time-evolving-mpo, we found that it has been starred 79 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Mar 8, 2021
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 18
Open PR: 0
Last Release: 4 years ago
Last Commit: 16 days ago

Further analysis of the maintenance status of time-evolving-mpo based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for time-evolving-mpo is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 20
Funding: No

With more than 10 contributors for the time-evolving-mpo repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.6.0

Age: 5 years
Latest Release: 4 years ago
Dependencies: 4 Direct / 16 Total
Versions: 4
Maintainers: 2
Wheels: OS Independent

Readme

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, arXiv2101.03071 (2021).

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.

time-evolving-mpo dependencies

matplotlib numpy scipy tensornetwork

FAQs

What is time-evolving-mpo?

A python3 library to efficiently compute non-markovian open quantum systems. Visit Snyk Advisor to see a full health score report for time-evolving-mpo, including popularity, security, maintenance & community analysis.

Is time-evolving-mpo popular?

The python package time-evolving-mpo receives a total of 36 weekly downloads. As such, time-evolving-mpo popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is time-evolving-mpo well maintained?

We found indications that time-evolving-mpo is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is time-evolving-mpo safe to use?

While scanning the latest version of time-evolving-mpo, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 17 November-2024, at 15:34 (UTC).

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time-evolving-mpo

A python3 library to efficiently compute non-markovian open quantum systems. For more information about how to use this package see README

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Package Health Score

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Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

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Community

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Package

Readme

TimeEvolvingMPO

Links

Installation

Quickstart Tutorial

Contributing

Citing, Authors and Bibliography

time-evolving-mpo dependencies

FAQs

What is time-evolving-mpo?

Is time-evolving-mpo popular?

Is time-evolving-mpo well maintained?

Is time-evolving-mpo safe to use?

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Package Health Score

Direct Usage Popularity

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Commit Frequency

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Readme

TimeEvolvingMPO

Links

Installation

Quickstart Tutorial

Contributing

Citing, Authors and Bibliography

time-evolving-mpo dependencies

FAQs

What is time-evolving-mpo?

Is time-evolving-mpo popular?

Is time-evolving-mpo well maintained?

Is time-evolving-mpo safe to use?

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Source Code

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