GrassmannTN: a Python package for Grassmann tensor network computations
Atis Yosprakob

TL;DR
GrassmannTN is a Python package that simplifies Grassmann tensor network computations, automating fermionic sign factors and enhancing code readability for numerical simulations.
Contribution
It introduces a user-friendly Python toolkit for Grassmann tensor networks, automating sign calculations and focusing on clear tensor manipulation functions.
Findings
Automates fermionic sign factor calculations.
Supports Grassmann tensor renormalization group computations.
Enhances code readability for tensor manipulations.
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTensor decomposition and applications · Computational Physics and Python Applications · Quantum, superfluid, helium dynamics
