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)
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Official URL: https://doi.org/10.21468/SciPostPhysCodeb.41 |
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 |
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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 Q Science > QC Physics > QC174.12 Quantum theory |
Divisions: | 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: | 27 Nov 2024 13:44 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/107943 (The current URI for this page, for reference purposes) |
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