https://github.com/qi-rub/tensorscaling

A Python package for tensor scaling and entanglement polytopes
https://github.com/qi-rub/tensorscaling

algorithms mathematics optimization

Last synced: about 5 hours ago
JSON representation

A Python package for tensor scaling and entanglement polytopes

• Host: GitHub
• URL: https://github.com/qi-rub/tensorscaling
• Owner: qi-rub
• License: mit
• Created: 2018-07-25T14:01:30.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-09-16T15:29:54.000Z (2 months ago)
• Last Synced: 2024-09-16T18:41:24.236Z (2 months ago)
• Topics: algorithms, mathematics, optimization
• Language: Python
• Homepage: https://arxiv.org/abs/1804.04739
• Size: 505 KB
• Stars: 5
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# tensorscaling ![Python 3.12+](https://img.shields.io/badge/python-3.12-brightgreen.svg) [![arXiv](http://img.shields.io/badge/arXiv-1804.04739-blue.svg?style=flat)](http://arxiv.org/abs/1804.04739)

This is a Python module and Jupyter notebook for **tensor scaling**, computing [entanglement polytopes](https://www.entanglement-polytopes.org), and solving the one-body [quantum marginal problem](https://arxiv.org/abs/1410.6820).

It based on the algorithm proposed in our [recent paper](https://arxiv.org/abs/1804.04739).

```

@article{tensorscaling,

  title={Efficient algorithms for tensor scaling, quantum marginals and moment polytopes}

  author={Peter Bürgisser and Cole Franks and Ankit Garg and Rafael Oliveira and Michael Walter, Avi Wigderson},

  journal={Proceedings of the 59th IEEE Symposium on Foundations of Computer Science (FOCS)},

  pages={883--894},

  year={2018},

  eprint={1804.04739}

}

```

# Getting started

...

# Development

Run `pytest` to run unit tests.

Run `ruff format` to format source code.