Work

Entanglement detection using mutually unbiased measurements

Year: 2014

Type: article

Abstract: We study entanglement detection by using mutually unbiased measurements and provide a quantum separability criterion that can be experimentally implemented for arbitrary $d$-dimensional bipartite systems. We show that this criterion is more effective than the criterion based on mutually unbiased bases. For isotropic states our criterion becomes both necessary and sufficient.

Source: Physical Review A

DOI: 10.1103/physreva.89.064302

Authors: Bin Chen, Teng Ma, Shao-Ming Fei

Institutions: Capital Normal University, Max Planck Institute for Mathematics in the Sciences

Language: English

Topic: Quantum Information and Cryptography

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China

Award: G5487541420