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Quantum Statistical Complexity Measure as a Signaling of Correlation Transitions

We introduce a quantum version for the statistical complexity measure, in the context of quantum information theory, and use it as a signaling function of quantum order–disorder transitions. We discuss the possibility for such transitions to characterize interesting physical phenomena, as quantum ph...

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Detalles Bibliográficos
Autores principales: Cesário, André T., Ferreira, Diego L. B., Debarba, Tiago, Iemini, Fernando, Maciel, Thiago O., Vianna, Reinaldo O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407496/
https://www.ncbi.nlm.nih.gov/pubmed/36010825
http://dx.doi.org/10.3390/e24081161
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author Cesário, André T.
Ferreira, Diego L. B.
Debarba, Tiago
Iemini, Fernando
Maciel, Thiago O.
Vianna, Reinaldo O.
author_facet Cesário, André T.
Ferreira, Diego L. B.
Debarba, Tiago
Iemini, Fernando
Maciel, Thiago O.
Vianna, Reinaldo O.
author_sort Cesário, André T.
collection PubMed
description We introduce a quantum version for the statistical complexity measure, in the context of quantum information theory, and use it as a signaling function of quantum order–disorder transitions. We discuss the possibility for such transitions to characterize interesting physical phenomena, as quantum phase transitions, or abrupt variations in correlation distributions. We apply our measure on two exactly solvable Hamiltonian models: the [Formula: see text]-Quantum Ising Model (in the single-particle reduced state), and on Heisenberg XXZ spin- [Formula: see text] chain (in the two-particle reduced state). We analyze its behavior across quantum phase transitions for finite system sizes, as well as in the thermodynamic limit by using Bethe Ansatz technique.
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spelling pubmed-94074962022-08-26 Quantum Statistical Complexity Measure as a Signaling of Correlation Transitions Cesário, André T. Ferreira, Diego L. B. Debarba, Tiago Iemini, Fernando Maciel, Thiago O. Vianna, Reinaldo O. Entropy (Basel) Article We introduce a quantum version for the statistical complexity measure, in the context of quantum information theory, and use it as a signaling function of quantum order–disorder transitions. We discuss the possibility for such transitions to characterize interesting physical phenomena, as quantum phase transitions, or abrupt variations in correlation distributions. We apply our measure on two exactly solvable Hamiltonian models: the [Formula: see text]-Quantum Ising Model (in the single-particle reduced state), and on Heisenberg XXZ spin- [Formula: see text] chain (in the two-particle reduced state). We analyze its behavior across quantum phase transitions for finite system sizes, as well as in the thermodynamic limit by using Bethe Ansatz technique. MDPI 2022-08-19 /pmc/articles/PMC9407496/ /pubmed/36010825 http://dx.doi.org/10.3390/e24081161 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cesário, André T.
Ferreira, Diego L. B.
Debarba, Tiago
Iemini, Fernando
Maciel, Thiago O.
Vianna, Reinaldo O.
Quantum Statistical Complexity Measure as a Signaling of Correlation Transitions
title Quantum Statistical Complexity Measure as a Signaling of Correlation Transitions
title_full Quantum Statistical Complexity Measure as a Signaling of Correlation Transitions
title_fullStr Quantum Statistical Complexity Measure as a Signaling of Correlation Transitions
title_full_unstemmed Quantum Statistical Complexity Measure as a Signaling of Correlation Transitions
title_short Quantum Statistical Complexity Measure as a Signaling of Correlation Transitions
title_sort quantum statistical complexity measure as a signaling of correlation transitions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407496/
https://www.ncbi.nlm.nih.gov/pubmed/36010825
http://dx.doi.org/10.3390/e24081161
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