Multipartite entanglement based on realignment moments

Based on the realignment moments of density matrix, we study parameterized entanglement criteria for bipartite and multipartite states. By adjusting the different parameter values, our criterion can detect not only bound entangled states, but also non-positive partial transpose entangled states for bipartite quantum systems. Moreover, we propose the definition of multipartite realignment moments and generalize the result of bipartite systems to obtain a sufficient criterion to detect entanglement for multipartite quantum states in arbitrary dimensions. And we further improve the conclusion to obtain another new entanglement criterion. The new method can detect more entangled states than previous methods as backed by detailed examples.

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Publication Details

Journal
arXiv (Cornell University)
Published
2025-04-14
Primary Topic
Smart Systems and Machine Learning
Type
article
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article

Multipartite entanglement based on realignment moments

Hui Zhao, Naihuan Jing, Mei-Ming Zhang, Shihao Zhuang
arXiv (Cornell University)
Smart Systems and Machine Learning
article

Multipartite entanglement based on realignment moments

Hui Zhao, Naihuan Jing, Mei-Ming Zhang, Shihao Zhuang
article en

Abstract

Based on the realignment moments of density matrix, we study parameterized entanglement criteria for bipartite and multipartite states. By adjusting the different parameter values, our criterion can detect not only bound entangled states, but also non-positive partial transpose entangled states for bipartite quantum systems. Moreover, we propose the definition of multipartite realignment moments and generalize the result of bipartite systems to obtain a sufficient criterion to detect entanglement for multipartite quantum states in arbitrary dimensions. And we further improve the conclusion to obtain another new entanglement criterion. The new method can detect more entangled states than previous methods as backed by detailed examples.

arXiv (Cornell University)
Openalex Percentile: Top 66%
Smart Systems and Machine Learning
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