连续变量真多部纠缠的最小准则

IF 5.1 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Quantum Pub Date : 2025-08-27 DOI:10.22331/q-2025-08-27-1837
Olga Leskovjanová, Ladislav Mišta Jr.
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引用次数: 0

摘要

我们导出了一组正交算子二阶矩的真多模纠缠准则。这些判据具有位置和动量正交组合的方差和之间的不确定性关系的共同形式。该准则的一个独特之处在于其和包含最多两模组合的方差的尽可能少的数目。因此,我们需要知道的应用准则的秒矩数仅与模态数线性缩放,而不是已经存在的准则的二次缩放。每个标准都与一个树形图相关联,这允许我们开发一种直接的方法来构建仅基于底层树的结构的标准。通过找到一些多达六个模式的高斯态的例子,证明了所提出标准的实用性,这些例子可以检测到真正的多模纠缠。所设计的准则特别适用于验证大多模态下的真多部纠缠,或者当所研究状态只有一组两模最近邻边际协方差矩阵可用时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimal criteria for continuous-variable genuine multipartite entanglement
We derive a set of genuine multi-mode entanglement criteria for second moments of the quadrature operators. The criteria have a common form of the uncertainty relation between sums of variances of position and momentum quadrature combinations. A unique feature of the criteria is that the sums contain the least possible number of variances of at most two-mode combinations. The number of second moments we need to know to apply the criteria thus scales only linearly with the number of modes, as opposed to the quadratic scaling of the already existing criteria. Each criterion is associated with a tree graph, which allowed us to develop a direct method of construction of the criteria based solely on the structure of the underlying tree. The practicality of the proposed criteria is demonstrated by finding a number of examples of Gaussian states of up to six modes, whose genuine multi-mode entanglement is detected by them. The designed criteria are particularly suitable for verification of genuine multipartite entanglement in large multi-mode states or when only a set of two-mode nearest-neighbour marginal covariance matrices of the investigated state is available.
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来源期刊
Quantum
Quantum Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
9.20
自引率
10.90%
发文量
241
审稿时长
16 weeks
期刊介绍: Quantum is an open-access peer-reviewed journal for quantum science and related fields. Quantum is non-profit and community-run: an effort by researchers and for researchers to make science more open and publishing more transparent and efficient.
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