English

Structure of the set of quantum correlators via semidefinite programming

Quantum Physics 2019-05-15 v1 Optimization and Control

Abstract

Quantum information leverages properties of quantum behaviors in order to perform useful tasks such as secure communication and randomness certification. Nevertheless, not much is known about the intricate geometric features of the set quantum behaviors. In this paper we study the structure of the set of quantum correlators using semidefinite programming. Our main results are (i) a generalization of the analytic description by Tsirelson-Landau-Masanes, (ii) necessary and sufficient conditions for extremality and exposedness, and (iii) an operational interpretation of extremality in the case of two dichotomic measurements, in terms of self-testing. We illustrate the usefulness of our theoretical findings with many examples and extensive computational work.

Keywords

Cite

@article{arxiv.1809.10886,
  title  = {Structure of the set of quantum correlators via semidefinite programming},
  author = {Le Phuc Thinh and Antonios Varvitsiotis and Yu Cai},
  journal= {arXiv preprint arXiv:1809.10886},
  year   = {2019}
}

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