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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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    Figures&Tables (8)
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    Figures & Tables(8)
    Schematic diagram of satellite-to-ground quantum communication

    Fig. 1. Schematic diagram of satellite-to-ground quantum communication

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    Telescope light path diagram

    Fig. 2. Telescope light path diagram

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    Stellar images in different atmospheric environments by different receiving efficiency（a）<1%，（b）1%~2%，（c）2%~3%，（d）4%~5%，（e）5%~6%，（b）6%~7%

    Fig. 3. Stellar images in different atmospheric environments by different receiving efficiency（a）<1%，（b）1%~2%，（c）2%~3%，（d）4%~5%，（e）5%~6%，（b）6%~7%

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    Analysis process

    Fig. 4. Analysis process

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    Image recognition modeling

    Fig. 5. Image recognition modeling

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    Image recognition accuracy of different algorithms

    Fig. 6. Image recognition accuracy of different algorithms

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    Forecast result

    Fig. 7. Forecast result

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    • Table 1. Satellite-to-ground link attenuation and sifted key rate

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      Table 1. Satellite-to-ground link attenuation and sifted key rate

      分类总衰减（dB）筛选码率（kbit/s）
      4-36~-355~7
      5-35~-347~8
      6-34~-338~9
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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

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology