2018
DOI: 10.1093/logcom/exx045
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On the computational complexity of detecting possibilistic locality

Abstract: The proofs of quantum nonlocality due to GHZ and Hardy are quantitatively different from that of Bell insofar as they rely only on a consideration of whether events are possible or impossible, rather than relying on specific experimental probabilities. Here, we consider the computational task of determining whether or not a given table of possibilities constitutes a departure from possibilistic local realism. By considering the case in which one party has access to measurements with two outcomes and the other … Show more

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Cited by 2 publications
(1 citation statement)
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“…This notion is what prompts the term "maximal contextuality"; if a scenario is maximally contextual then it has a contextual fraction that is the highest possible, viz 1. It is independent under a re-labelling the measurement effects, but the contextual fraction is hard to calculate when the number of corners of the noncontextual polytope is large, which is true in many natural situations such as in nonlocality scenarios in which one party has access to measurements with three or more outcomes [13]. The figure-of-merit explored in this paper acts as a complementary measure of contextuality that can distinguish different scenarios which have the maximum possible contextual fraction of 1.…”
Section: Introductionmentioning
confidence: 99%
“…This notion is what prompts the term "maximal contextuality"; if a scenario is maximally contextual then it has a contextual fraction that is the highest possible, viz 1. It is independent under a re-labelling the measurement effects, but the contextual fraction is hard to calculate when the number of corners of the noncontextual polytope is large, which is true in many natural situations such as in nonlocality scenarios in which one party has access to measurements with three or more outcomes [13]. The figure-of-merit explored in this paper acts as a complementary measure of contextuality that can distinguish different scenarios which have the maximum possible contextual fraction of 1.…”
Section: Introductionmentioning
confidence: 99%