Numerical Determination of Local Models in Networks
Ano de defesa: | 2022 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | eng |
Instituição de defesa: |
Universidade Federal de Pernambuco
UFPE Brasil Programa de Pos Graduacao em Fisica |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | https://repositorio.ufpe.br/handle/123456789/45707 |
Resumo: | Taking advantage of the fact that the cardinalities of hidden variables in network scenarios can be taken to be finite without loss of generality, a numerical tool for finding explicit local models that reproduce a given statistical behaviour was developed. The numerical procedure was then applied to get numerical estimates to two interesting problems in the context of network non-locality: i) for which critical visibility the Greenberger-Horne-Zeilinger (GHZ) distribution ceases to be local in the triangle scenario with no inputs; ii) what is the boundary of the local set in a given 2-dimensional slice of the probability space for the bilocal network with binary inputs and outputs. For the first problem: a critical visibility of v ≈ 1/3 was found; behaviours with v ≤ 1/3 were proven to be trilocal; and numerical evidence that behaviours with v > 1/3 are not trilocal was found. For the second problem: a closed set that approximates the bilocal set was found; behaviours inside this set were proven to be bilocal; and numerical evidence that behaviours outside this set are not bilocal was found. |