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Limit Theorems for Quantum Entropies and Applications

机译:限制量子熵和应用的定理

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We present our recent results on limit theorems for quantum entropies and their applications in quantum information theory. They include the full extensions of the fundamental asymptotic equipartition property (AEP) to ergodic quantum information sources and the ergodic version of Stein's Lemma on quantum hypothesis testing. These limit theorems are then used to obtain a data compression theorem for ergodic quantum sources and a quantum version of Sanov's theorem on large deviations for uncorrelated quantum sources. Moreover, Stein's lemma clearifies the operational interpretation of the quantum Kullback-Leibler distance (relative entropy), and this operational understanding of this quantity can be employed to give a new intuitive proof of the monotonicity of this statistical distance measure relying on information-theoretic methods.
机译:我们最近的结果是Quantum Entopies的限制定理及其在量子信息理论中的应用。 它们包括基本渐近赤党物业(AEP)的全部扩展到ergodic量子信息来源和Stein在量子假设检测上的ergodic形式。 然后,这些限制定理用于获得ergodic量子源的数据压缩定理和萨诺夫定理的量子版本,对不相关的量子源的大偏差。 此外,Stein的LEMMA清除了量子kullback-Leibler距离(相对熵)的操作解释,并且可以采用这种运行理解,以便为依赖信息理论方法提供这种统计距离措施的单调性的新直观证明 。

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