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We have decided to discontinue the publication of preprints on our preprint server as of 1 March 2024. The publication culture within mathematics has changed so much due to the rise of repositories such as ArXiV (www.arxiv.org) that we are encouraging all institute members to make their preprints available there. An institute's repository in its previous form is, therefore, unnecessary. The preprints published to date will remain available here, but we will not add any new preprints here.

MiS Preprint
39/2020

Discriminating bipartite mixed states by local operations

Jin-Hua Zhang, Fu-Lin Zhang, Zhi-Xi Wang, Le-Min Lai and Shao-Ming Fei

Abstract

Unambiguous state discrimination of two mixed bipartite states via local operations and classical communications (LOCC) is studied and compared with the result of a scheme realized via global measurement. We show that the success probability of a global scheme for mixed-state discrimination can be achieved perfectly by the local scheme. In addition, we simulate this discrimination via a pair of pure entangled bipartite states. This simulation is perfect for local rather than global schemes due to the existence of entanglement and global coherence in the pure states. We also prove that LOCC protocol and the sequential state discrimination (SSD) can be interpreted in a unified view. We then hybridize the LOCC protocol with three protocols (SSD, reproducing and broadcasting) relying on classical communications.

Such hybridizations extend the gaps between the optimal success probability of global and local schemes, which can be eliminated only for the SSD rather than the other two protocols.

Received:
Mar 17, 2020
Published:
Mar 17, 2020

Related publications

inJournal
2020 Repository Open Access
Jin-Hua Zhang, Fu-Lin Zhang, Zhi-Xi Wang, Le-Min Lai and Shao-Ming Fei

Discriminating bipartite mixed states by local operations

In: Physical review / A, 101 (2020) 3, p. 032316