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Optimizing the post-processing of online evolution reconstruction in quantum communication
Quantum Information Processing ( IF 2.5 ) Pub Date : 2020-10-30 , DOI: 10.1007/s11128-020-02894-0
Hua Zhou , Guangxia Li , Wenming Zhu , Yang Su , Tao Pu , Zhiyong Xu , Jingyuan Wang , Yimin Wang , Jianhua Li , Huiping Shen

A method of optimizing the post-processing of online evolution reconstruction in quantum communication is proposed and demonstrated for the six-state protocol. The aim of optimization is to promote the accuracy of recovering the expectation value functions of projectors, because it sets the boundary of the reconstruction errors. Before recovery, the measurement records for equal expectation value functions are integrated to increase the amount of available measurement data. After recovery, the raw recovered expectation value functions are normalized twice according to two spherical constraints on them separately to reduce the recovery errors further. The simulated results of reconstructing a time-varying qubit in quantum information show that our method is equivalent to a tenfold increment of available measurement data for online evolution reconstruction.



中文翻译:

在量子通信中优化在线进化重建的后处理

针对六态协议,提出并论证了一种优化量子通信中在线进化重构后处理的方法。优化的目的是提高恢复投影仪期望值功能的准确性,因为它设置了重建误差的边界。恢复之前,对等期望值函数的测量记录进行了集成,以增加可用测量数据的数量。恢复后,原始恢复期望值函数将根据两个球形约束分别标准化两次,以进一步降低恢复误差。

更新日期:2020-10-30
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