GrassmannTN: a Python package for Grassmann tensor network computations

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.

arXiv comment35 pages, 9 figures; v2: eq(A.36) corrected; v3: references added

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Cited by in corpus (5)

• Grassmann Time-Evolving Matrix Product Operators for Quantum Impurity Models
• Reduced tensor network formulation for non-Abelian gauge theories in arbitrary dimensions
• The Cytnx Library for Tensor Networks
• Grassmann tensor networks
• Phase diagram of the single-flavor Gross--Neveu--Wilson model from the Grassmann corner transfer matrix renormalization group