background
logo
ArxivPaperAI

GrassmannTN: a Python package for Grassmann tensor network computations

Author:
Atis Yosprakob
Keyword:
High Energy Physics - Lattice, High Energy Physics - Lattice (hep-lat), Statistical Mechanics (cond-mat.stat-mech), High Energy Physics - Theory (hep-th)
journal:
--
date:
2023-09-13 16:00:00
Abstract
We present GrassmannTN, a Python package for the computation of the Grassmann tensor network. The package is built to assist in the numerical computation without the need to input the fermionic sign factor manually. It prioritizes coding readability by designing every tensor manipulating function around the tensor subscripts. The computation of the Grassmann tensor renormalization group and Grassmann isometries using GrassmannTN are given as the use case examples.
PDF: GrassmannTN: a Python package for Grassmann tensor network computations.pdf
Empowered by ChatGPT