Experimental extractable work-based multipartite separability criteria

Quantum optics: work probes quantum correlations Quantum systems share links like no classical systems can—now we know this can affect engines too. There exists a principle that links the amount of information one experimenter has on a system with the amount of work they need to erase that informati...

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Autores principales: Mario A. Ciampini, Luca Mancino, Adeline Orieux, Caterina Vigliar, Paolo Mataloni, Mauro Paternostro, Marco Barbieri
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/b460d642dc15424dbe9cf66a244ab331
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spelling oai:doaj.org-article:b460d642dc15424dbe9cf66a244ab3312021-12-02T11:41:57ZExperimental extractable work-based multipartite separability criteria10.1038/s41534-017-0011-92056-6387https://doaj.org/article/b460d642dc15424dbe9cf66a244ab3312017-03-01T00:00:00Zhttps://doi.org/10.1038/s41534-017-0011-9https://doaj.org/toc/2056-6387Quantum optics: work probes quantum correlations Quantum systems share links like no classical systems can—now we know this can affect engines too. There exists a principle that links the amount of information one experimenter has on a system with the amount of work they need to erase that information. In this manuscript, it has been investigated what difference it makes when the information distributed to many experimenters is generated by exchanging photons that share quantum correlations. It has been found that more work is required when these correlations are present, and the information on this extra work is used to understand how and how much the photons were originally connected. Since this work has its origin in quantum correlations, these results are a first implication that quantum-correlated photons allow to build engines with superior performance.Mario A. CiampiniLuca MancinoAdeline OrieuxCaterina VigliarPaolo MataloniMauro PaternostroMarco BarbieriNature PortfolioarticlePhysicsQC1-999Electronic computers. Computer scienceQA75.5-76.95ENnpj Quantum Information, Vol 3, Iss 1, Pp 1-6 (2017)
institution DOAJ
collection DOAJ
language EN
topic Physics
QC1-999
Electronic computers. Computer science
QA75.5-76.95
spellingShingle Physics
QC1-999
Electronic computers. Computer science
QA75.5-76.95
Mario A. Ciampini
Luca Mancino
Adeline Orieux
Caterina Vigliar
Paolo Mataloni
Mauro Paternostro
Marco Barbieri
Experimental extractable work-based multipartite separability criteria
description Quantum optics: work probes quantum correlations Quantum systems share links like no classical systems can—now we know this can affect engines too. There exists a principle that links the amount of information one experimenter has on a system with the amount of work they need to erase that information. In this manuscript, it has been investigated what difference it makes when the information distributed to many experimenters is generated by exchanging photons that share quantum correlations. It has been found that more work is required when these correlations are present, and the information on this extra work is used to understand how and how much the photons were originally connected. Since this work has its origin in quantum correlations, these results are a first implication that quantum-correlated photons allow to build engines with superior performance.
format article
author Mario A. Ciampini
Luca Mancino
Adeline Orieux
Caterina Vigliar
Paolo Mataloni
Mauro Paternostro
Marco Barbieri
author_facet Mario A. Ciampini
Luca Mancino
Adeline Orieux
Caterina Vigliar
Paolo Mataloni
Mauro Paternostro
Marco Barbieri
author_sort Mario A. Ciampini
title Experimental extractable work-based multipartite separability criteria
title_short Experimental extractable work-based multipartite separability criteria
title_full Experimental extractable work-based multipartite separability criteria
title_fullStr Experimental extractable work-based multipartite separability criteria
title_full_unstemmed Experimental extractable work-based multipartite separability criteria
title_sort experimental extractable work-based multipartite separability criteria
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/b460d642dc15424dbe9cf66a244ab331
work_keys_str_mv AT marioaciampini experimentalextractableworkbasedmultipartiteseparabilitycriteria
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AT adelineorieux experimentalextractableworkbasedmultipartiteseparabilitycriteria
AT caterinavigliar experimentalextractableworkbasedmultipartiteseparabilitycriteria
AT paolomataloni experimentalextractableworkbasedmultipartiteseparabilitycriteria
AT mauropaternostro experimentalextractableworkbasedmultipartiteseparabilitycriteria
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