Q-随机张量的凸分解和多方系统中的贝尔位置性

IF 0.8 Q2 MATHEMATICS
Huai-Xin Cao, Hong-Yi Chen, Zhi-Hua Guo, Tsung-Lin Lee, Ngai-Ching Wong
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引用次数: 0

摘要

根据行随机矩阵和列随机矩阵的概念,我们引入了多维 Q 随机张量。我们证明,每个 Q 随机张量都可以分解为有限个二元 Q 随机张量的凸组合,而且二元 Q 随机张量正是所有大小相同的 Q 随机张量的紧凑凸集的极值点。演示了在多方系统中表征量子态的贝尔位置性的应用。还提供了计算 Q-随机张量凸分解的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convex decompositions of Q-stochastic tensors and Bell locality in a multipartite system

Generalizing the notions of the row and the column stochastic matrices, we introduce the multidimensional Q-stochastic tensors. We prove that every Q-stochastic tensor can be decomposed as a convex combination of finitely many binary Q-stochastic tensors and that the binary Q-stochastic tensors are exactly the extreme points of the compact convex set of all Q-stochastic tensors with the same size. Applications to characterizing the Bell locality of a quantum state in a multipartite system are demonstrated. Algorithms for computing the convex decompositions of Q-stochastic tensors are provided.

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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
55
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