Tensor Network Python (TeNPy) version 1

SciPost Phys. Codebases 41 (2024) 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 s...

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Hauptverfasser:	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, Möller, 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 S. K, Zaletel, Michael P, Pollmann, Frank
Format:	Artikel
Sprache:	eng
Schlagworte:	Physics - Strongly Correlated Electrons
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Beschreibung
Zusammenfassung:	SciPost Phys. Codebases 41 (2024) 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.
DOI:	10.48550/arxiv.2408.02010