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Lossless quantum data compression with exponential penalization: an operational interpretation of the quantum Rényi entropy

机译:具有指数惩罚的无损量子数据压缩:量子Rényi熵的可操作解释

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摘要

Based on the problem of quantum data compression in a lossless way, we present here an operational interpretation for the family of quantum Rényi entropies. In order to do this, we appeal to a very general quantum encoding scheme that satisfies a quantum version of the Kraft-McMillan inequality. Then, in the standard situation, where one is intended to minimize the usual average length of the quantum codewords, we recover the known results, namely that the von Neumann entropy of the source bounds the average length of the optimal codes. Otherwise, we show that by invoking an exponential average length, related to an exponential penalization over large codewords, the quantum Rényi entropies arise as the natural quantities relating the optimal encoding schemes with the source description, playing an analogous role to that of von Neumann entropy.
机译:基于无损方式压缩量子数据的问题,我们在这里给出量子Rényi熵家族的操作解释。为了做到这一点,我们呼吁一种非常通用的量子编码方案,该方案可以满足Kraft-McMillan不等式的量子形式。然后,在标准情况下,如果要使量子码字的通常平均长度最小化,我们将恢复已知结果,即源的冯·诺依曼熵限制最佳代码的平均长度。否则,我们表明,通过调用与大码字上的指数惩罚有关的指数平均长度,量子Rényi熵作为与最优编码方案与源描述相关的自然量而出现,起到了类似于von Neumann熵的作用。

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