GrassmannTN

This is a package that aims to simplify the coding involving Grassmann tensor network. I try to make the coding as convenient as when you use other standard packages like numpy or scipy. All the sign factors are computed automatically without explicit user inputs.

Useful links

• documentation
• PyPI
• full paper
• arXiv preprint

Prerequisites

• numpy
• sparse
• opt_einsum
• sympy

Installation

pip install grassmanntn

Once the package is installed, download example.py and try running it with

python3 example.py --show_progress

An example code of a one-flavor two-dimensional $`\mathbb{Z}_2`$ gauge theory should be able to run.

Examples

Please see documentation.