Entangled N-photon states for fair and optimal social decision making

Abstract Situations involving competition for resources among entities can be modeled by the competitive multi-armed bandit (CMAB) problem, which relates to social issues such as maximizing the total outcome and achieving the fairest resource repartition among individuals. In these respects, the int...

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Autores principales: Nicolas Chauvet, Guillaume Bachelier, Serge Huant, Hayato Saigo, Hirokazu Hori, Makoto Naruse
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Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/5e90ce3f1bce4749b21312af0ea7ec75
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spelling oai:doaj.org-article:5e90ce3f1bce4749b21312af0ea7ec752021-12-02T12:33:53ZEntangled N-photon states for fair and optimal social decision making10.1038/s41598-020-77340-32045-2322https://doaj.org/article/5e90ce3f1bce4749b21312af0ea7ec752020-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77340-3https://doaj.org/toc/2045-2322Abstract Situations involving competition for resources among entities can be modeled by the competitive multi-armed bandit (CMAB) problem, which relates to social issues such as maximizing the total outcome and achieving the fairest resource repartition among individuals. In these respects, the intrinsic randomness and global properties of quantum states provide ideal tools for obtaining optimal solutions to this problem. Based on the previous study of the CMAB problem in the two-arm, two-player case, this paper presents the theoretical principles necessary to find polarization-entangled N-photon states that can optimize the total resource output while ensuring equality among players. These principles were applied to two-, three-, four-, and five-player cases by using numerical simulations to reproduce realistic configurations and find the best strategies to overcome potential misalignment between the polarization measurement systems of the players. Although a general formula for the N-player case is not presented here, general derivation rules and a verification algorithm are proposed. This report demonstrates the potential usability of quantum states in collective decision making with limited, probabilistic resources, which could serve as a first step toward quantum-based resource allocation systems.Nicolas ChauvetGuillaume BachelierSerge HuantHayato SaigoHirokazu HoriMakoto NaruseNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Nicolas Chauvet
Guillaume Bachelier
Serge Huant
Hayato Saigo
Hirokazu Hori
Makoto Naruse
Entangled N-photon states for fair and optimal social decision making
description Abstract Situations involving competition for resources among entities can be modeled by the competitive multi-armed bandit (CMAB) problem, which relates to social issues such as maximizing the total outcome and achieving the fairest resource repartition among individuals. In these respects, the intrinsic randomness and global properties of quantum states provide ideal tools for obtaining optimal solutions to this problem. Based on the previous study of the CMAB problem in the two-arm, two-player case, this paper presents the theoretical principles necessary to find polarization-entangled N-photon states that can optimize the total resource output while ensuring equality among players. These principles were applied to two-, three-, four-, and five-player cases by using numerical simulations to reproduce realistic configurations and find the best strategies to overcome potential misalignment between the polarization measurement systems of the players. Although a general formula for the N-player case is not presented here, general derivation rules and a verification algorithm are proposed. This report demonstrates the potential usability of quantum states in collective decision making with limited, probabilistic resources, which could serve as a first step toward quantum-based resource allocation systems.
format article
author Nicolas Chauvet
Guillaume Bachelier
Serge Huant
Hayato Saigo
Hirokazu Hori
Makoto Naruse
author_facet Nicolas Chauvet
Guillaume Bachelier
Serge Huant
Hayato Saigo
Hirokazu Hori
Makoto Naruse
author_sort Nicolas Chauvet
title Entangled N-photon states for fair and optimal social decision making
title_short Entangled N-photon states for fair and optimal social decision making
title_full Entangled N-photon states for fair and optimal social decision making
title_fullStr Entangled N-photon states for fair and optimal social decision making
title_full_unstemmed Entangled N-photon states for fair and optimal social decision making
title_sort entangled n-photon states for fair and optimal social decision making
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/5e90ce3f1bce4749b21312af0ea7ec75
work_keys_str_mv AT nicolaschauvet entanglednphotonstatesforfairandoptimalsocialdecisionmaking
AT guillaumebachelier entanglednphotonstatesforfairandoptimalsocialdecisionmaking
AT sergehuant entanglednphotonstatesforfairandoptimalsocialdecisionmaking
AT hayatosaigo entanglednphotonstatesforfairandoptimalsocialdecisionmaking
AT hirokazuhori entanglednphotonstatesforfairandoptimalsocialdecisionmaking
AT makotonaruse entanglednphotonstatesforfairandoptimalsocialdecisionmaking
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