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Characteristics optimization via compressed sensing in quantum state estimation

机译:量子态估计中通过压缩传感进行特性优化

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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:压缩感测(CS)已被有效证明可以减少量子态估计中所需的测量次数。通过分析测量设置的下限和量子态估计误差的上限,研究了最佳测量设置数与通过压缩传感进行的量子态估计误差之间的关系。基于CS理论获得的结果,我们分析了三种观测矩阵的上述特征,并通过数值模拟进行了性能比较。在状态估计过程中获得的最佳条件和误差范围可以为选择量子状态估计中最小数量的测量设置提供理论指导。

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