2021
DOI: 10.1103/physrevx.11.021043
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Quantum Inflation: A General Approach to Quantum Causal Compatibility

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Cited by 48 publications
(78 citation statements)
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“…By considering increasingly large inflations, one obtains increasingly strong conditions for the correlations of interest. Concretely, inflation-based methods have been developed to characterize correlations in networks where all sources are local [37], quantum [38], and general nonlocal resources [37,39]. By combining the ideas from the first and last, one obtains a computationally viable and generally applicable tool to analyze correlations in networks that are composed of both local and general nonlocal resources.…”
mentioning
confidence: 99%
“…By considering increasingly large inflations, one obtains increasingly strong conditions for the correlations of interest. Concretely, inflation-based methods have been developed to characterize correlations in networks where all sources are local [37], quantum [38], and general nonlocal resources [37,39]. By combining the ideas from the first and last, one obtains a computationally viable and generally applicable tool to analyze correlations in networks that are composed of both local and general nonlocal resources.…”
mentioning
confidence: 99%
“…As a tool for studying network entanglement, we use the inflation technique [17,32]. The basic idea is depicted FIG.…”
Section: Networkmentioning
confidence: 99%
“…Concerning quantum correlations, several initial works appeared in the last year, suggesting slightly different definitions of network entanglement [25][26][27][28]. These have been further investigated [29][30][31] and methods from the classical realm have been extended to the quantum scenario [32]. Still, the present results are limited to simple networks like the triangle network, noise-free networks or networks build from specific quantum states, or bounded to small dimensions due to numerical limitations.…”
Section: Introductionmentioning
confidence: 99%
“…The key idea is to consider the various sources in the network to be statistically independent [7][8][9]. This independence leads to nonconvexity in the space of relevant correlations, undermining the use of preexisting tools and creating a need for new approaches, both analytically [10][11][12][13][14][15][16][17][18] and numerically [19]. The network structure offers new interesting effects, such as the possibility to certify quantum nonlocality "without inputs" (i.e., a scenario where each party performs a fixed quantum measurement) [8,9,[20][21][22].…”
mentioning
confidence: 99%
“…First, it would be interesting to determine if either NLHS assemblages or the full set of network assemblages can be characterized via techniques based on semidefinite programming, using for instance the approach of Ref. [18]. A related direction is to further classify NLHS models based on the properties of the sources.…”
mentioning
confidence: 99%