On random classical marginal problems with applications to quantum information theory

Abstract In this paper, we study random instances of the classical marginal problem. We encode the problem in a graph, where the vertices have assigned fixed binary probability distributions, and edges have assigned random bivariate distributions having the incident vertex distributions as marginals. We provide estimates on the probability that a joint distribution on the graph exists, having the bivariate edge distributions as marginals. Our study is motivated by Fine’s theorem in quantum mechanics. We study in great detail the graphs corresponding to CHSH and Bell–Wigner scenarios providing rations of volumes between the local and non-signaling polytopes.

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Publication Details

Journal
Journal of Physics A Mathematical and Theoretical
Published
2025-02-12
DOI
https://doi.org/10.1088/1751-8121/adb547
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
0.00

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article

On random classical marginal problems with applications to quantum information theory

Ion Nechita, Ashok Kumar Jha
Journal of Physics A Mathematical and Theoretical
Probability and Risk Models
article

On random classical marginal problems with applications to quantum information theory

Ion Nechita, Ashok Kumar Jha
article en

Abstract

Abstract In this paper, we study random instances of the classical marginal problem. We encode the problem in a graph, where the vertices have assigned fixed binary probability distributions, and edges have assigned random bivariate distributions having the incident vertex distributions as marginals. We provide estimates on the probability that a joint distribution on the graph exists, having the bivariate edge distributions as marginals. Our study is motivated by Fine’s theorem in quantum mechanics. We study in great detail the graphs corresponding to CHSH and Bell–Wigner scenarios providing rations of volumes between the local and non-signaling polytopes.

Journal of Physics A Mathematical and TheoreticalVol. 58(8)
Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Laboratoire de Physique Théorique (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 97%
Probability and Risk Models
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