2018
DOI: 10.1103/physreva.97.030102
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Excluding joint probabilities from quantum theory

Abstract: Quantum theory does not provide a unique definition for the joint probability of two noncommuting observables, which is the next important question after the Born's probability for a single observable. Instead, various definitions were suggested, e.g. via quasi-probabilities or via hidden-variable theories. After reviewing open issues of the joint probability, we relate it to quantum imprecise probabilities, which are non-contextual and are consistent with all constraints expected from a quantum probability. W… Show more

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Cited by 8 publications
(21 citation statements)
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References 52 publications
(148 reference statements)
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“…[14] shows that it is also consistent with the quantum conditional (two-time) probability. We emphasize that (16) are respectively the minimal and maximal operators holding (10)(11)(12)(13)(14)(15)). If some of those conditions are omitted, the imprecise probabilities can only become more precise.…”
supporting
confidence: 70%
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“…[14] shows that it is also consistent with the quantum conditional (two-time) probability. We emphasize that (16) are respectively the minimal and maximal operators holding (10)(11)(12)(13)(14)(15)). If some of those conditions are omitted, the imprecise probabilities can only become more precise.…”
supporting
confidence: 70%
“…where U is a unitary operator: U U † = I. For further features of the imprecise probability see [13,14]. Ref.…”
mentioning
confidence: 99%
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“…Measurement incompatibility can also be described by constructing joint (quasi)probability distributions, with the condition that the marginal distributions be given by the Born rule [32][33][34][35][36][37]. Quasiprobability distributions, generically arising in (sequential) weak measurement scenarios [19,[38][39][40][41][42][43][44], necessarily feature negative probabilities [14,34,[45][46][47][48][49] (which is related to contextuality [50][51][52]); joint distributions that do not feature negative probabilities require going beyond the axiomatics of standard "precise" probability theory [53].…”
mentioning
confidence: 99%