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Characteristics optimization via compressed sensing in quantum state estimation

机译:量子估计压缩检测特征优化

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Compressed sensing (CS) has been proved efficiently in reducing the required number of measurements in the quantum state estimation. In this paper, the relationship between the optimal number of measurement settings and the error of quantum state estimation via compressed sensing are studied by means of analyzing the lower bound of measurement settings and upper bound of error of quantum state estimation. Based on the results obtained by the CS theory, we analyze the above mentioned characteristics of three observation matrices and give the performance comparisons through the numerical simulations. The obtained optimal conditions and error bounds in the state estimation process can provide theoretical instructions for the selection of the minimum number of measurement settings in the quantum state estimation.
机译:已经有效地证明了压缩感测(CS),减少量子状态估计中所需的测量数量。本文通过分析测量设置的下限和量子状态估计误差的误差的下限来研究通过压缩感测的最佳测量设置和量子估计误差之间的关系。基于CS理论获得的结果,我们分析了三个观察矩阵的上述特征,并通过数值模拟提供性能比较。所获得的最佳条件和状态估计过程中的误差界限可以提供用于选择量子状态估计中的最小测量设置的理论指令。

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