Journal of Infrared and Millimeter Waves, Volume. 40, Issue 3, 420(2021)

Prediction and experimental verification for satellite- to-ground quantum communication key rate based on machine learning

Yun-Hong GONG1,2,3,4, Hao-Bin FU1,2,3, Hai-Lin YONG1,2,3, Yuan CAO1,2,3, Ji-Gang REN1,2,3、*, and Cheng-Zhi PENG1,2,3
Author Affiliations
  • 1Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
  • 2Shanghai Branch, CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai 201315,China
  • 3Shanghai Research Center for Quantum Sciences, Shanghai 201315, China
  • 4CAS Quantum Network company,Shanghai 200000,China
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    [23] LIAW A, WIENER M. Classification and regression by randomForest[J]. R news, 2, 18-22(2002).

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    Yun-Hong GONG, Hao-Bin FU, Hai-Lin YONG, Yuan CAO, Ji-Gang REN, Cheng-Zhi PENG. Prediction and experimental verification for satellite- to-ground quantum communication key rate based on machine learning[J]. Journal of Infrared and Millimeter Waves, 2021, 40(3): 420

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    Paper Information

    Category: Research Articles

    Received: Aug. 6, 2020

    Accepted: --

    Published Online: Sep. 9, 2021

    The Author Email: Ji-Gang REN (jgren@ustc.edu.cn)

    DOI:10.11972/j.issn.1001-9014.2021.03.019

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