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ZENODO
Software . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
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WaveTrain: A Python package for numerical quantum mechanics of chain-like systems based on tensor trains

Authors: Riedel, Jerome; Gelß, Patrick; Klein, Rupert; Schmidt, Burkhard;

WaveTrain: A Python package for numerical quantum mechanics of chain-like systems based on tensor trains

Abstract

This resource provides the Python scripts needed to generate the illustrations of quantum dynamics of excitons and phonons on a chain as shown in figures 3-6 of the manuscript published as arXiv:2302.03725 by J. Riedel, P. Gelß, R. Klein, and B. Schmidt. Note that the Python scripts build on our open-source WaveTrain software package for quantum dynamics which in turn builds on the scikit_TT software package for tensor trains. Both of them are freely available via the GitHub platform.

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy -- The Berlin Mathematics Research Center MATH+ (EXC-2046/1, project ID: 390685689) and by the CRC 1114 ``Scaling Cascades in Complex Systems'' funded by the Deutsche Forschungsgemeinschaft (project ID: 235221301). Sebastian Matera (Fritz Haber Institute, Berlin) is acknowledged for insightful discussions.

Keywords

Tensor Trains, Phonons, Excitons, Quantum dynamics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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