2016
DOI: 10.1103/physrevlett.116.010403
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Nonlinear Bell Inequalities Tailored for Quantum Networks

Abstract: In a quantum network, distant observers sharing physical resources emitted by independent sources can establish strong correlations, which defy any classical explanation in terms of local variables. We discuss the characterization of nonlocal correlations in such a situation, when compared to those that can be generated in networks distributing independent local variables. We present an iterative procedure for constructing Bell inequalities tailored for networks: starting from a given network, and a correspond… Show more

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Cited by 140 publications
(178 citation statements)
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References 27 publications
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“…Thus, we have found the violation 4 √ 2V 2 whenever V > 1/2 √ 2. The critical visibility V c = 1/2 √ 2 is the same as obtained in previous studies of correlations on this network [19,21].…”
supporting
confidence: 56%
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“…Thus, we have found the violation 4 √ 2V 2 whenever V > 1/2 √ 2. The critical visibility V c = 1/2 √ 2 is the same as obtained in previous studies of correlations on this network [19,21].…”
supporting
confidence: 56%
“…Also, it is worth observing that when N is an extension of N by a two-particle source (L = 1), our inequalities reduce to those derived in Ref. [21], up to the just mentioned minor modifications.…”
supporting
confidence: 45%
See 1 more Smart Citation
“…This triggered further research, with the derivation of novel non-linear inequalities and the exploration of more sophisticated networks; see e.g. [19][20][21][22][23][24][25][26][27]. However, the extent of quantum correlations in networks remains poorly understood.…”
Section: Arxiv:170200333v1 [Quant-ph] 1 Feb 2017mentioning
confidence: 99%
“…Recently, there has been much interest in deriving bounds on the correlations achievable in classical causal models [76,77,79,80] using insights from the literature on Bell's theorem. Such bounds constitute Bell-like inequalities for arbitrary causal structures.…”
Section: Discussionmentioning
confidence: 99%