2016
DOI: 10.1007/s11433-016-5795-7
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The robustness of contextuality and the contextuality cost of empirical models

Abstract: In this paper, we introduce and discuss the robustness of contextuality (RoC) R C (e) and the contextuality cost C(e) of an empirical model e. The following properties of them are proved. (i) An empirical model e is contextual if and only if R C (e) > 0; (ii) the RoC function R C is convex, lower semi-continuous and un-increasing under an affine mapping on the set EM of all empirical models; (iii) e is non-contextual if and only if C(e) = 0; (iv) e is contextual if and only if C(e) > 0; (v) e is strongly conte… Show more

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Cited by 12 publications
(10 citation statements)
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“….) such that lim n→∞ e n = e. By the closedness of NSEM ( [12], Theorem 2.2), we obtain that e ∈ NSEM.…”
Section: Theorem 4 (I) Letmentioning
confidence: 89%
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“….) such that lim n→∞ e n = e. By the closedness of NSEM ( [12], Theorem 2.2), we obtain that e ∈ NSEM.…”
Section: Theorem 4 (I) Letmentioning
confidence: 89%
“…Due to the importance of contextuality and motivated by a work on the robustness of entanglement of mixed quantum states against noise and jamming [11], we have proposed and discussed the robustness of contextuality (RoC) R C (e) of an empirical model e in [12,13] to quantify the amount of contextuality with respect to non-contextual mixing by asking about the minimal amount of contextuality-free mixing needed to wipe out all contextuality of e. The mathematical definition is as follows.…”
Section: Theorem 2 ([10])mentioning
confidence: 99%
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