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Quantum Information Processing

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01-07-2023 | Regular Article

Multipartite entanglement detection via correlation minor norm

Authors: Rain Lenny, Amit Te’eni, Bar Y. Peled, Avishy Carmi, Eliahu Cohen

Published in: Quantum Information Processing | Issue 7/2023

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Abstract

Entanglement is a uniquely quantum resource giving rise to many quantum technologies. It is therefore important to detect and characterize entangled states, but this is known to be a challenging task, especially for multipartite mixed states. The correlation minor norm (CMN) was recently suggested as a bi-partite entanglement detector employing bounds on the quantum correlation matrix. In this paper, we explore generalizations of the CMN to multipartite systems based on matricizations of the correlation tensor. It is shown that the CMN is able to detect and differentiate classes of multipartite entangled states. We further analyze the correlations within the reduced density matrices and show their significance for entanglement detection. Finally, we employ matricizations of the correlation tensor for introducing a measure of global quantum discord.

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Title: Multipartite entanglement detection via correlation minor norm
Authors: Rain Lenny
Amit Te’eni
Bar Y. Peled
Avishy Carmi
Eliahu Cohen
Publication date: 01-07-2023
Publisher: Springer US
Published in: Quantum Information Processing / Issue 7/2023
Print ISSN: 1570-0755
Electronic ISSN: 1573-1332
DOI: https://doi.org/10.1007/s11128-023-04046-6

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