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arXiv 1108.4549quant-ph
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一个广义数据处理不等式的Tsirelson界

Tsirelson's bound from a Generalised Data Processing Inequality

Oscar C. O. Dahlsten, Daniel Lercher, Renato Renner

摘要:

量子关联的强度从上到下受Tsirelson界的限制。我们建立了一个连接,这两个系统之间的相关性不能增加本地操作下,一个属性被称为数据处理不等式。更具体地说,我们考虑任意凸概率理论。这些可以配备一个熵的措施,自然推广冯诺伊曼熵,最近在[短和韦纳,巴纳姆等人]。我们证明,如果数据处理不等式持有关于这个广义熵测度,那么基本理论必然尊重Tsirelson的界限。此外,我们将这一说法推广到满足某些最小要求的任何熵测度。我们的结果的一个后果是,并不是所有的熵关系用于通过信息因果关系导出Tsirelson的约束[Pawlowski et al.]是必要的。

英文摘要:

The strength of quantum correlations is bounded from above by Tsirelson's bound. We establish a connection between this bound and the fact that correlations between two systems cannot increase under local operations, a property known as the data processing inequality. More specifically, we consider arbitrary convex probabilistic theories. These can be equipped with an entropy measure that naturally generalizes the von Neumann entropy, as shown recently in [Short and Wehner, Barnum et al.]. We prove that if the data processing inequality holds with respect to this generalized entropy measure then the underlying theory necessarily respects Tsirelson's bound. We moreover generalise this statement to any entropy measure satisfying certain minimal requirements. A consequence of our result is that not all of the entropic relations used to derive Tsirelson's bound via information causality in [Pawlowski et al.] are necessary.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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