2012
DOI: 10.1007/978-3-642-31594-7_67
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Epsilon-Net Method for Optimizations over Separable States

Abstract: We give algorithms for the optimization problem: max ρ Q, ρ , where Q is a Hermitian matrix, and the variable ρ is a bipartite separable quantum state. This problem lies at the heart of several problems in quantum computation and information, such as the complexity of QMA(2). While the problem is NP-hard, our algorithms are better than brute force for several instances of interest. In particular, they give PSPACE upper bounds on promise problems admitting a QMA(2) protocol in which the verifier performs only l… Show more

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Cited by 11 publications
(10 citation statements)
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“…However, we show in Appendix D that no such test can exist. In the same work, the authors give a subexponential-time algorithm for optimizing over the set of separable states [16]; an alternative algorithm for this task has been given by Shi and Wu [64], who also prove that several special cases of QMA(2) protocols can be simulated in polynomial space.…”
Section: Related Workmentioning
confidence: 99%
“…However, we show in Appendix D that no such test can exist. In the same work, the authors give a subexponential-time algorithm for optimizing over the set of separable states [16]; an alternative algorithm for this task has been given by Shi and Wu [64], who also prove that several special cases of QMA(2) protocols can be simulated in polynomial space.…”
Section: Related Workmentioning
confidence: 99%
“…Both settings have been extensively studied in the past (see e.g. [37,93,77,42,61,60,57,56,36,62,58] for work on MIP * /QMIP and [2,20,48,49,31,21,26,14,70,32,47,75,30,80,87] for work on QMA(k)), although there are still many interesting open questions concerning them.…”
Section: Introductionmentioning
confidence: 99%
“…This also yields a runtime of n O(log(n)/ 2 ) , but does not match the hardness result of [3] because of the 1-LOCC assumption. Similar results are also achievable using -nets [26,27]. One setting where the hardness result is known to be tight is when there are many provers.…”
Section: Previous Algorithms and Hardness Resultsmentioning
confidence: 52%