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article · SciPost Physics Codebases · 2023

Codebase release 1.3 for GrassmannTN

Atis Yosprakob

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

APA 7

Yosprakob, A. (2023). Codebase release 1.3 for GrassmannTN. SciPost Physics Codebases. https://doi.org/10.21468/scipostphyscodeb.20-r1.3

MLA 9

Yosprakob, Atis. “Codebase release 1.3 for GrassmannTN.” SciPost Physics Codebases, 2023, https://doi.org/10.21468/scipostphyscodeb.20-r1.3.

Chicago

Yosprakob, Atis. 2023. “Codebase release 1.3 for GrassmannTN.” SciPost Physics Codebases. https://doi.org/10.21468/scipostphyscodeb.20-r1.3.

Harvard

Yosprakob, A. (2023) ‘Codebase release 1.3 for GrassmannTN’, SciPost Physics Codebases. Available at: https://doi.org/10.21468/scipostphyscodeb.20-r1.3.

BibTeX
@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}
}

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