• Journal of Infrared and Millimeter Waves
  • Vol. 40, Issue 3, 420 (2021)
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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    DOI: 10.11972/j.issn.1001-9014.2021.03.019 Cite this Article
    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 Copy Citation Text show less
    References

    [1] C Z PENG, T YANG, X H BAO et al. Experimental free-space distribution of entangled photon pairs over 13 km: towards satellite-based global quantum communication. Physical review letters, 94, 150501(2005).

    [2] R URSIN, F TIEFENBACHER, T SCHMITT-MANDERBACH et al. Entanglement-based quantum communication over 144 km. Nature physics, 481-486(2007).

    [3] T SCHEIDL, R URSIN, A FEDRIZZI et al. Feasibility of 300 km quantum key distribution with entangled states. New Journal of Physics, 11, 085002(2009).

    [4] A FEDRIZZI, R URSIN, T HERBST et al. High-fidelity transmission of entanglement over a high-loss free-space channel. Nature Physics, 5, 389-392(2009).

    [5] I CAPRARO, A TOMAELLO, A DALL’ARCHE et al. Impact of turbulence in long range quantum and classical communications. Physical review letters, 109, 200502(2012).

    [6] C PEUNTINGER, B HEIM, C R MÜLLER et al. Distribution of squeezed states through an atmospheric channel. Physical review letters, 113, 060502(2014).

    [7] J YIN, J G REN, H LU et al. Quantum teleportation and entanglement distribution over 100-kilometre free-space channels. Nature, 488, 185-188(2012).

    [8] X S MA, T HERBST, T SCHEIDL et al. Quantum teleportation over 143 kilometres using active feed-forward. Nature, 489, 269-273(2012).

    [9] Y CAO, H LIANG, J YIN et al. Entanglement-based quantum key distribution with biased basis choice via free space. Optics express, 21, 27260-27268(2013).

    [10] S K LIAO, W Q CAI, W Y LIU et al. Satellite-to-ground quantum key distribution. Nature, 549, 43-47(2017).

    [11] J G REN, P XU, H L YONG et al. Ground-to-satellite quantum teleportation. Nature, 549, 70-73(2017).

    [12] J YIN, Y CAO, Y H LI et al. Satellite-based entanglement distribution over 1200 kilometers. Science, 356, 1140-1144(2017).

    [13] S K LIAO, W Q CAI, J HANDSTEINER et al. Satellite-relayed intercontinental quantum network. Physical review letters, 120, 030501(2018).

    [14] D K L OI, A LING, G VALLONE et al. CubeSat quantum communications mission. EPJ Quantum Technology, 4, 6(2017).

    [15] J A GRIEVE, R BEDINGTON, Z TANG et al. SpooQySats: CubeSats to demonstrate quantum key distribution technologies. Acta Astronautica, 151, 103-106(2018).

    [16] S P NEUMANN, S K JOSHI, M FINK et al. Q3Sat: quantum communications uplink to a 3U CubeSat—feasibility & design. EPJ Quantum Technology, 5, 4(2018).

    [17] W ZONG, G B HUANG. Face recognition based on extreme learning machine. Neurocomputing, 74, 2541-2551(2011).

    [18] B J ERICKSON, P KORFIATIS, Z AKKUS et al. Machine learning for medical imaging. Radiographics, 37, 505-515(2017).

    [19] B ZOPH, V VASUDEVAN, J SHLENS et al. Learning transferable architectures for scalable image recognition, 8697-8710(2018).

    [20] C M BISHOP. Pattern recognition and machine learning(2006).

    [21] G WIRTH. Astronomical magnitude systems. Dept. of Physics and Astronomy, University of Toronto(2012).

    [22] G GUO, H WANG, D BELL et al. KNN model-based approach in classification, 986-996(2003).

    [23] A LIAW, M WIENER. Classification and regression by randomForest. R news, 2, 18-22(2002).

    [24] P LANGLEY, S SAGE. Induction of selective Bayesian classifiers. Uncertainty Proceedings 1994, 399-406(1994).

    [25] J A K SUYKENS, J VANDEWALLE. Least squares support vector machine classifiers. Neural processing letters, 9, 293-300(1999).

    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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