Realignment-based separability criteria and lower bounds of entanglement

IF 2.2 3区物理与天体物理 Q1 PHYSICS, MATHEMATICAL

Quantum Information Processing Pub Date : 2025-05-13 DOI:10.1007/s11128-025-04758-x

Yu Lu, Zhong-Xi Shen, Shao-Ming Fei, Zhi-Xi Wang

引用次数: 0

Abstract

The detection of entanglement is a crucial issue in quantum information science. Based on the realignment of density matrices and the vectorization of the reduced density matrices, we introduce a set of new separability criteria. These separability criteria detect more entanglement than the corresponding existing ones. Moreover, we provide new criteria for detecting the genuine tripartite entanglement and lower bounds for the concurrence and convex-roof extended negativity. The advantages of results are demonstrated through detailed examples.

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基于重组的可分性准则和纠缠的下界

量子纠缠的检测是量子信息科学中的一个关键问题。基于密度矩阵的重新排列和约简密度矩阵的矢量化，我们引入了一套新的可分性准则。这些可分性准则比相应的现有准则检测到更多的纠缠。此外，我们还提供了检测真三方纠缠的新准则以及并发和凸顶扩展负性的下界。通过详细的实例说明了结果的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Quantum Information Processing 物理-物理：数学物理

CiteScore

4.10

自引率

20.00%

发文量

337

审稿时长

4.5 months

期刊介绍： Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.