系综的发散信息与Holevo信息的分离
A Separation between Divergence and Holevo Information for Ensembles
摘要：
概率分布集合的发散信息的概念是由Jain、Radhakrishnan和Sen在“子状态定理”的背景下引入的。从那时起，发散度被认为是量子和经典通信中几种情况下更自然的信息度量。我们构建的概率分布，发散信息可能会显着小于更标准的Holevo信息的合奏。其结果是，我们建立了以前显示的Holevo信息的下限弱于类似的发散信息。
英文摘要：
The notion of divergence information of an ensemble of probability distributions was introduced by Jain, Radhakrishnan, and Sen in the context of the ``substate theorem''. Since then, divergence has been recognized as a more natural measure of information in several situations in quantum and classical communication. We construct ensembles of probability distributions for which divergence information may be significantly smaller than the more standard Holevo information. As a result, we establish that lower bounds previously shown for Holevo information are weaker than similar ones shown for divergence information.
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。
