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      Bridging the gap between general probabilistic theories and the device-independent framework for nonlocality and contextuality

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          Abstract

          Characterizing quantum correlations in terms of information-theoretic principles is a popular chapter of quantum foundations. Traditionally, the principles adopted for this scope have been expressed in terms of conditional probability distributions, specifying the probability that a black box produces a certain output upon receiving a certain input. This framework is known as "device-independent". Another major chapter of quantum foundations is the information-theoretic characterization of quantum theory, with its sets of states and measurements, and with its allowed dynamics. The different frameworks adopted for this scope are known under the umbrella term "general probabilistic theories". With only a few exceptions, the two programmes on characterizing quantum correlations and characterizing quantum theory have so far proceeded on separate tracks, each one developing its own methods and its own agenda. This paper aims at bridging the gap, by comparing the two frameworks and illustrating how the two programmes can benefit each other.

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          Most cited references46

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          Quantum nonlocality as an axiom

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            The Knowledge Complexity of Interactive Proof Systems

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              An operational approach to quantum probability

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                Author and article information

                Journal
                2015-04-09
                2016-03-11
                Article
                10.1016/j.ic.2016.02.006
                1504.02395
                89c76c41-ee39-4d4f-b5f5-025e36571601

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                61 pages, no figures, published version
                quant-ph cs.CR cs.GT cs.LO math-ph math.MP

                Mathematical physics,Quantum physics & Field theory,Theoretical computer science,Security & Cryptology,Mathematical & Computational physics

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