Metadata-Version: 2.4
Name: ttnopt
Version: 0.1.0
Summary: A Python package for tree tensor network algorithms
Home-page: https://github.com/Watayo/TTNOpt
Author: Ryo Watanabe, Hidetaka Manabe
Author-email: Ryo Watanabe <u293494e@ecs.osaka-u.ac.jp>, Hidetaka Manabe <manabe@acs.i.kyoto-u.ac.jp>
License: Apache-2.0
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.24
Requires-Dist: tensornetwork
Requires-Dist: networkx
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: pydot
Requires-Dist: pyyaml
Requires-Dist: dotmap
Requires-Dist: pandas
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Requires-Dist: coverage; extra == "dev"
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Dynamic: author
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Dynamic: requires-python

# TTNOpt: Tree Tensor Netwokr Package for high-rank tensor compression
[![Documentation Status](https://readthedocs.org/projects/ttnopt/badge/?version=latest)](https://ttnopt.readthedocs.io/en/latest/)

We have developed TTNOpt, a software package that utilizes tree tensor networks (TTNs) for quantum spin systems and highdimensional data analysis.
TTNOpt provides efficient and powerful TTN computations by **locally optimizing the network structure**, guided by the entanglement pattern of the target tensors.

## Documentation
The documentation is avaibale [here](https://ttnopt.readthedocs.io/)

## Installation
One can install TTNOpt from GitHub
```
pip install git+https://github.com/Ryo-wtnb11/TTNOpt
```
or from PyPI
```
pip install ttnopt
```

## Papers
When using TTNOpt for research, please cite:
