Study and Implementation of Quantum Bayesian Networks

UDC.coleccionPublicacións UDCes_ES
UDC.endPage118es_ES
UDC.startPage111es_ES
dc.contributor.authorMayorga Redondo, Alejandro
dc.date.accessioned2025-01-20T17:45:31Z
dc.date.available2025-01-20T17:45:31Z
dc.date.issued2024
dc.description.abstractThis project deals with the implementation of Bayesian networks, a type of artificial intelligence based on graph theory and conditional probability, in the quantum computing paradigm. Examples related to the world of sports will be used as input in order to test the developed model. Besides, a comparison between implementations in classical and quantum paradigms will be carried out, so their differences in performance and attributes can be appreciated. The work will conclude with a debate about quantum computing and its future as a basis for executing AI models.es_ES
dc.identifier.urihttp://hdl.handle.net/2183/40790
dc.language.isoenges_ES
dc.relation.urihttps://doi.org/10.17979/spudc.9788497498913.16
dc.rightsAtribución 4.0es_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBayesian Networkses_ES
dc.subjectArtificial Intelligencees_ES
dc.titleStudy and Implementation of Quantum Bayesian Networkses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication3434e7a9-d4d2-4b1e-afb4-3d586762ddad
relation.isAuthorOfPublication.latestForDiscovery3434e7a9-d4d2-4b1e-afb4-3d586762ddad

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