Quantum bayesian decision‑making

Detalhes bibliográficos
Autor(a) principal: Oliveira, Michael
Data de Publicação: 2023
Outros Autores: Barbosa, L. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/1822/78052
Resumo: First Published: 20 March 2021
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spelling Quantum bayesian decision‑makingBayesian inferenceQuantum algorithmsQuantum decision makingCiências Naturais::Ciências da Computação e da InformaçãoArts & HumanitiesFirst Published: 20 March 2021As a compact representation of joint probability distributions over a dependence graph of random variables, and a tool for modelling and reasoning in the presence of uncertainty, Bayesian networks are of great importance for artificial intelligence to combine domain knowledge, capture causal relationships, or learn from incomplete datasets. Known as a NP-hard problem in a classical setting, Bayesian inference pops up as a class of algorithms worth to explore in a quantum framework. This paper explores such a research direction and improves on previous proposals by a judicious use of the utility function in an entangled configuration. It proposes a completely quantum mechanical decision-making process with a proven computational advantage. A prototype implementation in Qiskit (a Python based program development kit for the IBM Q machine) is discussed as a proof-of-concept.This work is fnanced by the ERDF–European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation–COMPETE 2020 Programme and by National Funds through the Portuguese funding agency, FCT, within project POCI-01- 0145-FEDER-030947. The frst author was further supported by project NORTE-01-0145- FEDER-000037, funded by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement.SpringerUniversidade do MinhoOliveira, MichaelBarbosa, L. S.20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/78052engde Oliveira, M., Barbosa, L.S. Quantum Bayesian Decision-Making. Found Sci 28, 21–41 (2023). https://doi.org/10.1007/s10699-021-09781-61233-18211572-847110.1007/s10699-021-09781-6https://link.springer.com/article/10.1007/s10699-021-09781-6info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:08:09Zoai:repositorium.sdum.uminho.pt:1822/78052Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:08:59.164175Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Quantum bayesian decision‑making
title Quantum bayesian decision‑making
spellingShingle Quantum bayesian decision‑making
Oliveira, Michael
Bayesian inference
Quantum algorithms
Quantum decision making
Ciências Naturais::Ciências da Computação e da Informação
Arts & Humanities
title_short Quantum bayesian decision‑making
title_full Quantum bayesian decision‑making
title_fullStr Quantum bayesian decision‑making
title_full_unstemmed Quantum bayesian decision‑making
title_sort Quantum bayesian decision‑making
author Oliveira, Michael
author_facet Oliveira, Michael
Barbosa, L. S.
author_role author
author2 Barbosa, L. S.
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Oliveira, Michael
Barbosa, L. S.
dc.subject.por.fl_str_mv Bayesian inference
Quantum algorithms
Quantum decision making
Ciências Naturais::Ciências da Computação e da Informação
Arts & Humanities
topic Bayesian inference
Quantum algorithms
Quantum decision making
Ciências Naturais::Ciências da Computação e da Informação
Arts & Humanities
description First Published: 20 March 2021
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/78052
url https://hdl.handle.net/1822/78052
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv de Oliveira, M., Barbosa, L.S. Quantum Bayesian Decision-Making. Found Sci 28, 21–41 (2023). https://doi.org/10.1007/s10699-021-09781-6
1233-1821
1572-8471
10.1007/s10699-021-09781-6
https://link.springer.com/article/10.1007/s10699-021-09781-6
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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