Family of multipartite separability criteria based on a correlation tensor

Gniewomir Sarbicki, Giovanni Scala, and Dariusz Chruściński
Phys. Rev. A 101, 012341 – Published 27 January 2020

Abstract

A family of separability criteria based on correlation matrix (tensor) is provided. Interestingly, it unifies several criteria known before like, e.g., computable cross-norm or realignment criterion (CNNR), de Vicente criterion, and derived recently separability criterion based on symmetric informationally complete positive operator valued measures (SIC POVMs). It should be stressed that, unlike the well-known correlation matrix criterion or criterion based on local uncertainty relations, our criteria are linear in the density operator and hence one may find unexplored classes of entanglement witnesses and positive maps. Interestingly, there is a natural generalization to multipartite scenario using multipartite correlation matrix. We illustrate the detection power of the above criteria on several well-known examples of quantum states.

  • Figure
  • Received 21 September 2019

DOI:https://doi.org/10.1103/PhysRevA.101.012341

©2020 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Gniewomir Sarbicki1, Giovanni Scala2,3, and Dariusz Chruściński1

  • 1Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziadzka 5/7, 87-100 Toruń, Poland
  • 2Dipartimento Interateneo di Fisica, Università degli Studi di Bari, I-70126 Bari, Italy
  • 3INFN, Sezione di Bari, I-70125 Bari, Italy

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Vol. 101, Iss. 1 — January 2020

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