Metadata-Version: 2.1
Name: tetraku
Version: 0.3.16
Summary: data library used by tetragono
Author-email: Hao Zhang <zh970205@mail.ustc.edu.cn>
License: GPLv3
Project-URL: Homepage, https://github.com/USTC-TNS/TNSP/tree/main/tetraku
Project-URL: Repository, https://github.com/USTC-TNS/TNSP.git
Project-URL: Issues, https://github.com/USTC-TNS/TNSP/issues
Project-URL: Changelog, https://github.com/USTC-TNS/TNSP/blob/main/CHANGELOG.org
Keywords: tensor,tensor network,tensor network state,PEPS,MPS,quantum many body system
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: tetragono ==0.3.16

Tetraku is a collection of commonly-used models and ansatzes used by [tetragono](https://github.com/USTC-TNS/TNSP/tree/main/tetragono).
More information is available in the readme files within each directory.

There are some popular models such as [the J1 -J2 model on a square lattice](https://github.com/USTC-TNS/TNSP/tree/main/tetraku/tetraku/models/J1J2/),
[the Hubbard model on a honeycomb lattice](https://github.com/USTC-TNS/TNSP/tree/main/tetraku/tetraku/models/honeycomb_hubbard/),
and [the Rydberg model on a square lattice](https://github.com/USTC-TNS/TNSP/tree/main/tetraku/tetraku/models/rydberg/),
which can be referenced if users want to add new model.

