Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches

Quantum memory effects can be qualitatively understood as a consequence of an environment-to-system backflow of information. Here, we analyze and compare how this concept is interpreted and implemented in different approaches to quantum non-Markovianity. We study a nonoperational approach, defined b...

Descripción completa

Detalles Bibliográficos
Autor: Budini, Adrian Adolfo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/215182
Acceso en línea:http://hdl.handle.net/11336/215182
Access Level:acceso abierto
Palabra clave:OPEN QUANTUM SYSTEMS
QUANTUM NON-MARKOVIANITY
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
id AR_b514fbefef86e26445574c19438081d0
oai_identifier_str oai:ri.conicet.gov.ar:11336/215182
network_acronym_str AR
network_name_str Argentina
repository_id_str
spelling Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational ApproachesBudini, Adrian AdolfoOPEN QUANTUM SYSTEMSQUANTUM NON-MARKOVIANITYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Quantum memory effects can be qualitatively understood as a consequence of an environment-to-system backflow of information. Here, we analyze and compare how this concept is interpreted and implemented in different approaches to quantum non-Markovianity. We study a nonoperational approach, defined by the distinguishability between two system states characterized by different initial conditions, and an operational approach, which is defined by the correlation between different outcomes associated to successive measurement processes performed over the system of interest. The differences, limitations, and vantages of each approach are characterized in detail by considering diverse system–environment models and dynamics. As a specific example, we study a non-Markovian depolarizing map induced by the interaction of the system of interest with an environment characterized by incoherent and coherent self-dynamics.Fil: Budini, Adrian Adolfo. Universidad Tecnológica Nacional; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; ArgentinaMolecular Diversity Preservation International2022-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215182Budini, Adrian Adolfo; Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches; Molecular Diversity Preservation International; Entropy; 24; 5; 5-2022; 1-171099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/24/5/649info:eu-repo/semantics/altIdentifier/doi/10.3390/e24050649info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T14:22:52Zoai:ri.conicet.gov.ar:11336/215182instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 14:22:52.727CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches
title Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches
spellingShingle Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches
Budini, Adrian Adolfo
OPEN QUANTUM SYSTEMS
QUANTUM NON-MARKOVIANITY
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
title_short Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches
title_full Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches
title_fullStr Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches
title_full_unstemmed Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches
title_sort Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches
dc.creator.none.fl_str_mv Budini, Adrian Adolfo
author Budini, Adrian Adolfo
author_facet Budini, Adrian Adolfo
author_role author
dc.subject.none.fl_str_mv OPEN QUANTUM SYSTEMS
QUANTUM NON-MARKOVIANITY
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
topic OPEN QUANTUM SYSTEMS
QUANTUM NON-MARKOVIANITY
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
description Quantum memory effects can be qualitatively understood as a consequence of an environment-to-system backflow of information. Here, we analyze and compare how this concept is interpreted and implemented in different approaches to quantum non-Markovianity. We study a nonoperational approach, defined by the distinguishability between two system states characterized by different initial conditions, and an operational approach, which is defined by the correlation between different outcomes associated to successive measurement processes performed over the system of interest. The differences, limitations, and vantages of each approach are characterized in detail by considering diverse system–environment models and dynamics. As a specific example, we study a non-Markovian depolarizing map induced by the interaction of the system of interest with an environment characterized by incoherent and coherent self-dynamics.
publishDate 2022
dc.date.none.fl_str_mv 2022-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/215182
Budini, Adrian Adolfo; Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches; Molecular Diversity Preservation International; Entropy; 24; 5; 5-2022; 1-17
1099-4300
CONICET Digital
CONICET
url http://hdl.handle.net/11336/215182
identifier_str_mv Budini, Adrian Adolfo; Quantum Non-Markovian Environment-to-System Backflows of Information: Nonoperational vs. Operational Approaches; Molecular Diversity Preservation International; Entropy; 24; 5; 5-2022; 1-17
1099-4300
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/24/5/649
info:eu-repo/semantics/altIdentifier/doi/10.3390/e24050649
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1799196315587969024
score 15,811543