Raw data to "Quantum-critical properties of the long-range transverse-field Ising model from quantum Monte Carlo simulations"

Koziol, Jan Alexander; Langheld, Anja; Kapfer, Sebastian C.; Schmidt, Kai Phillip

Found an issue? Give us feedback

ZENODOarrow_drop_down

ZENODO

Dataset . 2021

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2021

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2021

License: CC BY

Data sources: ZENODO

Raw data to "Quantum-critical properties of the long-range transverse-field Ising model from quantum Monte Carlo simulations"

Research datakeyboard_double_arrow_right Dataset 20 May 2021 English Publisher:ZenodoFunded by:DFG | unidentified

Authors: Koziol, Jan Alexander; Langheld, Anja; Kapfer, Sebastian C.; Schmidt, Kai Phillip;

doi: 10.5281/zenodo.4775156 , 10.5281/zenodo.4775157

Raw data to "Quantum-critical properties of the long-range transverse-field Ising model from quantum Monte Carlo simulations"

- Summary
- Subjects
- Metrics

Abstract

This directory contains the data used to generate the results in the work "Quantum-critical properties of the long-range transverse-field Ising model from quantum Monte Carlo simulations[1]". To get an overview of the organization of the directory and a description of the data we recommend the README file. [1]: J. A. Koziol et al. , Quantum-critical properties of the long-range transverse-field Ising model from quantum Monte Carlo simulations, Phys. Rev. B 103 245135, 2021.

Related Organizations

University of Erlangen-Nuremberg
Germany

Keywords

stochastic series expansion, quantum Monte Carlo, quantum phase transition, transverse-field long-range Ising model

Impact byBIP!

	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).	1
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average