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Quantum cyber-physical systems

This paper aims to promote a quantum framework that analyzes Industry 4.0 cyber-physical systems more efficiently than traditional simulations used to represent integrated systems. The paper proposes a novel configuration of distributed quantum circuits in multilayered complex networks that enable t...

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Autores principales: Villalba-Diez, Javier, González-Marcos, Ana, Ordieres-Meré, Joaquín
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106656/
https://www.ncbi.nlm.nih.gov/pubmed/35562377
http://dx.doi.org/10.1038/s41598-022-11691-x
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author Villalba-Diez, Javier
González-Marcos, Ana
Ordieres-Meré, Joaquín
author_facet Villalba-Diez, Javier
González-Marcos, Ana
Ordieres-Meré, Joaquín
author_sort Villalba-Diez, Javier
collection PubMed
description This paper aims to promote a quantum framework that analyzes Industry 4.0 cyber-physical systems more efficiently than traditional simulations used to represent integrated systems. The paper proposes a novel configuration of distributed quantum circuits in multilayered complex networks that enable the evaluation of industrial value creation chains. In particular, two different mechanisms for the integration of information between circuits operating at different layers are proposed, where their behavior is analyzed and compared with the classical conditional probability tables linked to the Bayesian networks. With the proposed method, both linear and nonlinear behaviors become possible while the complexity remains bounded. Applications in the case of Industry 4.0 are discussed when a component’s health is under consideration, where the effect of integration between different quantum cyber-physical digital twin models appears as a relevant implication.
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spelling pubmed-91066562022-05-15 Quantum cyber-physical systems Villalba-Diez, Javier González-Marcos, Ana Ordieres-Meré, Joaquín Sci Rep Article This paper aims to promote a quantum framework that analyzes Industry 4.0 cyber-physical systems more efficiently than traditional simulations used to represent integrated systems. The paper proposes a novel configuration of distributed quantum circuits in multilayered complex networks that enable the evaluation of industrial value creation chains. In particular, two different mechanisms for the integration of information between circuits operating at different layers are proposed, where their behavior is analyzed and compared with the classical conditional probability tables linked to the Bayesian networks. With the proposed method, both linear and nonlinear behaviors become possible while the complexity remains bounded. Applications in the case of Industry 4.0 are discussed when a component’s health is under consideration, where the effect of integration between different quantum cyber-physical digital twin models appears as a relevant implication. Nature Publishing Group UK 2022-05-13 /pmc/articles/PMC9106656/ /pubmed/35562377 http://dx.doi.org/10.1038/s41598-022-11691-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Villalba-Diez, Javier
González-Marcos, Ana
Ordieres-Meré, Joaquín
Quantum cyber-physical systems
title Quantum cyber-physical systems
title_full Quantum cyber-physical systems
title_fullStr Quantum cyber-physical systems
title_full_unstemmed Quantum cyber-physical systems
title_short Quantum cyber-physical systems
title_sort quantum cyber-physical systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106656/
https://www.ncbi.nlm.nih.gov/pubmed/35562377
http://dx.doi.org/10.1038/s41598-022-11691-x
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