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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Data and Code Supplement: Skyrmionic Schrödinger cat states in monoaxial chiral magnets

Research datakeyboard_double_arrow_right Dataset 15 Oct 2025Publisher:Zenodo
Authors: Liscak, Stefan; Haller, Andreas; Michels, Andreas; Schmidt, Thomas L.; Kuchkin, Vladyslav M.;

doi: 10.5281/zenodo.17360498 , 10.5281/zenodo.17360497

Data and Code Supplement: Skyrmionic Schrödinger cat states in monoaxial chiral magnets

Abstract

This collection represents the data and code supplement for the publication "Skyrmionic Schrödinger cat states in monoaxial chiral magnets" (arXiv:2503.16020). The code.zip file contains all necessary files to simulate a skyrmion excited state using the DMRG-x method. The system is then perturbed by a gradient Zeeman field, resulting in a collective motion of the skyrmion excitation, which is simulated using the TDVP algorithm. For more information, we refer to the README.md. The data.zip file contains raw tables and Python scripts that generate all figures of the related manuscript.

Keywords

Computational Physics, DMRG, Magnetism

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average