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Tensor network Python (TeNPy) version 1

Hauschild, Johannes, Unfried, Jakob, Anand, Sajant, Andrews, Bartholomew, Bintz, Marcus, Borla, Umberto, Divic, Stefan, Drescher, Markus, Geiger, Jan, Hefel, Martin, and others. (2024) Tensor network Python (TeNPy) version 1. SciPost Physics Codebases, 41 (r1.0). Article Number 41-r1.0. ISSN 2949-804X. (doi:10.21468/SciPostPhysCodeb.41) (KAR id:107943)

Abstract

TeNPy (short for 'Tensor Network Python') is a python library for the simulation of strongly correlated quantum systems with tensor networks. The philosophy of this library is to achieve a balance of readability and usability for new-comers, while at the same time providing powerful algorithms for experts. The focus is on MPS algorithms for 1D and 2D lattices, such as DMRG ground state search, as well as dynamics using TEBD, TDVP, or MPO evolution. This article is a companion to the recent version 1.0 release of TeNPy and gives a brief overview of the package.

Item Type: Article
DOI/Identification number: 10.21468/SciPostPhysCodeb.41
Projects: UF120157, URF\R\180004, EP/P022995/1, Vice Chancellors PhD Studentship
Uncontrolled keywords: Tensor Networks, Time Evolving Block Decimation, Density Matrix Renormalisation Group, Matrix Product Operator, Time Evolution, Open Source Software, Quantum Many-Body Systems, Numerical Simulations
Subjects: Q Science > QC Physics > QC173.45 Condensed Matter
REF2014 Units of Assessment > Main panel C > C19 Business and Management Studies > QC173.45 Condensed Matter

Q Science > QC Physics > QC174.12 Quantum theory
Institutional Unit: Schools > School of Engineering, Mathematics and Physics > Physics and Astronomy
Former Institutional Unit:
Divisions > Division of Natural Sciences > Physics and Astronomy
Funders: Royal Society (https://ror.org/03wnrjx87)
Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
University of Kent (https://ror.org/00xkeyj56)
Depositing User: Gunnar Moeller
Date Deposited: 26 Nov 2024 17:04 UTC
Last Modified: 20 May 2025 09:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/107943 (The current URI for this page, for reference purposes)

University of Kent Author Information

Möller, Gunnar.

Creator's ORCID: https://orcid.org/0000-0001-8986-0899
CReDIT Contributor Roles:

Schoonderwoerd, Leon.

Creator's ORCID:
CReDIT Contributor Roles:
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