2020
DOI: 10.1103/physreva.101.032341
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Classical analog of the quantum marginal problem

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Cited by 3 publications
(2 citation statements)
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“…[55] using the method developed here, which would also take into account the experimental errors, is beyond the scope of the present paper and will be addressed elsewhere. Finally, the presented findings also stimulate theoretical questions concerning the existence of a Gaussian classical analog of the quantum marginal problem [57] or the extendibility of the entanglement marginal problem [16] to Gaussian case. On a more general level, our results contribute to the development of methods of detection of global properties of multipartite quantum systems from partial information.…”
Section: Discussionmentioning
confidence: 64%
“…[55] using the method developed here, which would also take into account the experimental errors, is beyond the scope of the present paper and will be addressed elsewhere. Finally, the presented findings also stimulate theoretical questions concerning the existence of a Gaussian classical analog of the quantum marginal problem [57] or the extendibility of the entanglement marginal problem [16] to Gaussian case. On a more general level, our results contribute to the development of methods of detection of global properties of multipartite quantum systems from partial information.…”
Section: Discussionmentioning
confidence: 64%
“…On one hand, they point at an alternative approach towards experimental investigation of the remarkable concept of genuine multipartite entanglement verifiable from incomplete sets of separable marginals. On the other hand, they also stimulate theoretical questions concerning the existence of a Gaussian classical analog of the quantum marginal problem [43] or the extendibility of the entanglement marginal problem [44] to Gaussian case. On a more general level, our results contribute to the development of methods of detection of global properties of multipartite quantum systems from partial information.…”
Section: Discussionmentioning
confidence: 99%