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Optimizing the post-processing of online evolution reconstruction in quantum communication

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Abstract

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.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 61975238).

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Authors and Affiliations

  1. College of Communication Engineering, Army Engineering University of PLA, Nanjing, 210007, China

    Hua Zhou, Guangxia Li, Wenming Zhu, Yang Su, Tao Pu, Zhiyong Xu, Jingyuan Wang, Yimin Wang, Jianhua Li & Huiping Shen

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  1. Hua Zhou
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  2. Guangxia Li
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  3. Wenming Zhu
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  4. Yang Su
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  5. Tao Pu
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  9. Jianhua Li
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Correspondence to Hua Zhou.

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Zhou, H., Li, G., Zhu, W. et al. Optimizing the post-processing of online evolution reconstruction in quantum communication. Quantum Inf Process 19, 387 (2020). https://doi.org/10.1007/s11128-020-02894-0

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