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A new information metric and a possible higher bound for a class of measurements in the Quantum Estimation Problem

机译:一个新的信息度量和一个类的可能更高的界限   量子估计问题中的测量

摘要

Information metrics give lower bounds for the estimation of parameters. TheCencov-Morozova-Petz Theorem classifies the monotone quantum Fisher metrics.The optimum bound for the quantum estimation problem is offered by the metricwhich is obtained from the symmetric logarithmic derivative. To get a betterbound, it means to go outside this family of metrics, and thus inevitably, torelax some general conditions. In the paper we defined logarithmic derivativesthrough a phase-space correspondence. This introduces a function whichquantifies the deviation from the symmetric derivative. Using this function wehave proved that there exist POVMs for which the new metric gives a higherbound from that of the symmetric derivative. The analysis was performed for theone qubit case.
机译:信息量度为参数估计提供了下限。 Cencov-Morozova-Petz定理对单调量子Fisher度量进行了分类。通过对称对数导数获得的度量为量子估计问题提供了最佳界。为了获得更好的约束,这意味着要超出这一系列指标,因此不可避免地要放宽一些一般条件。在本文中,我们通过相空间对应关系定义了对数导数。这引入了量化与对称导数的偏差的函数。使用此函数,我们证明了存在一些POVM,其新度量比对称导数具有更高的界限。针对一个量子位的情况进行了分析。

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