article · SciPost Physics Codebases · 2023
Codebase release 1.3 for GrassmannTN
Cited by 2Open access
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.
Cite this paper
Yosprakob, A. (2023). Codebase release 1.3 for GrassmannTN. SciPost Physics Codebases. https://doi.org/10.21468/scipostphyscodeb.20-r1.3
Yosprakob, Atis. “Codebase release 1.3 for GrassmannTN.” SciPost Physics Codebases, 2023, https://doi.org/10.21468/scipostphyscodeb.20-r1.3.
Yosprakob, Atis. 2023. “Codebase release 1.3 for GrassmannTN.” SciPost Physics Codebases. https://doi.org/10.21468/scipostphyscodeb.20-r1.3.
Yosprakob, A. (2023) ‘Codebase release 1.3 for GrassmannTN’, SciPost Physics Codebases. Available at: https://doi.org/10.21468/scipostphyscodeb.20-r1.3.
@article{yosprakob2023codebase,
title = {{Codebase release 1.3 for GrassmannTN}},
author = {Yosprakob, Atis},
journal = {SciPost Physics Codebases},
year = {2023},
doi = {10.21468/scipostphyscodeb.20-r1.3}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.