论文标题

随机访问代码模型以外的信息因果关系

Information causality beyond the random access code model

论文作者

Yu, Baichu, Scarani, Valerio

论文摘要

信息因果关系(IC)是被调用以绑定量子相关性集的第一批原则之一。对于某些相关性的家庭,该原理恰好恢复了量子集的边界。对于其他人来说,仍然存在差距。我们基于“冗余信息”的概念,使用新的量化符来弥合其中的一些差距。量子相关性仍然遵守新的定义。通过认识到可以捕获IC的原理而无需参考随机访问代码的成功标准,就可以实现这一进展。

Information causality (IC) was one of the first principles that have been invoked to bound the set of quantum correlations. For some families of correlations, this principle recovers exactly the boundary of the quantum set; for others, there is still a gap. We close some of these gaps using a new quantifier for IC, based on the notion of "redundant information'". The new definition is still obeyed by quantum correlations. This progress was made possible by the recognition that the principle of IC can be captured without referring to the success criterion of random access codes.

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