Probabilistic models on contextuality scenarios

We introduce a framework to describe probabilistic models in Bell experiments, and more generally in contextuality scenarios. Such a scenario is a hypergraph whose vertices represent elementary events and hyperedges correspond to measurements. A probabilistic model on such a scenario associates to e...

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Bibliographic Details
Main Authors: Tobias Fritz, Anthony Leverrier, Ana Belén Sainz
Format: Article
Language:English
Published: Open Publishing Association 2014-12-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/1307.0145v3
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author Tobias Fritz
Anthony Leverrier
Ana Belén Sainz
author_facet Tobias Fritz
Anthony Leverrier
Ana Belén Sainz
author_sort Tobias Fritz
collection DOAJ
description We introduce a framework to describe probabilistic models in Bell experiments, and more generally in contextuality scenarios. Such a scenario is a hypergraph whose vertices represent elementary events and hyperedges correspond to measurements. A probabilistic model on such a scenario associates to each event a probability, in such a way that events in a given measurement have a total probability equal to one. We discuss the advantages of this framework, like the unification of the notions of contexuality and nonlocality, and give a short overview of results obtained elsewhere.
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spelling doaj.art-c8cf904656904c2084dc928680aea1582022-12-22T00:23:05ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802014-12-01171Proc. QPL 2013637010.4204/EPTCS.171.6:fritzProbabilistic models on contextuality scenariosTobias Fritz0Anthony Leverrier1Ana Belén Sainz2 Perimeter Institute for Theoretical Physics, Waterloo, Ontario, Canada INRIA Rocquencourt, Domaine de Voluceau, B.P. 105, 78153 Le Chesnay Cedex, France ICFO–Institut de Ciencies Fotoniques, E-08860 Castelldefels, Barcelona, Spain We introduce a framework to describe probabilistic models in Bell experiments, and more generally in contextuality scenarios. Such a scenario is a hypergraph whose vertices represent elementary events and hyperedges correspond to measurements. A probabilistic model on such a scenario associates to each event a probability, in such a way that events in a given measurement have a total probability equal to one. We discuss the advantages of this framework, like the unification of the notions of contexuality and nonlocality, and give a short overview of results obtained elsewhere.http://arxiv.org/pdf/1307.0145v3
spellingShingle Tobias Fritz
Anthony Leverrier
Ana Belén Sainz
Probabilistic models on contextuality scenarios
Electronic Proceedings in Theoretical Computer Science
title Probabilistic models on contextuality scenarios
title_full Probabilistic models on contextuality scenarios
title_fullStr Probabilistic models on contextuality scenarios
title_full_unstemmed Probabilistic models on contextuality scenarios
title_short Probabilistic models on contextuality scenarios
title_sort probabilistic models on contextuality scenarios
url http://arxiv.org/pdf/1307.0145v3
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AT anthonyleverrier probabilisticmodelsoncontextualityscenarios
AT anabelensainz probabilisticmodelsoncontextualityscenarios