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; Hémery, Kévin; Kadow, Wilhelm; Kemp, Jack; Kirchner, Nico; Liu, Vincent S.; Moller, Gunnar; Parker, Daniel; Rader, Michael; Romen, Anton; Scalet, Samuel; Schoonderwoerd, Leon; Schulz, Maximilian; Soejima, Tomohiro; Thoma, Philipp; Wu, Yantao; Zechmann, Philip; Zweng, Ludwig; Mong, Roger; Zaletel, Mike; Pollmann, Frank

doi:10.21468/scipostphyscodeb.41

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Tensor network Python (TeNPy) version 1

Published in SciPost Physics Codebases • Nov 26, 2024

NobleIDNI4P40W72R54S65

Authors:

Johannes Hauschild

,

Jakob Unfried

,

Sajant Anand

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 e...

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