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A Quantum Random Number Generator Based on the 100-Mbit/s Poisson Photocount Statistics

  • Atoms, Molecules, Optics
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Abstract

A quantum random number generator is experimentally realized. The initial randomness source is a sequence of photocounts from quasi-single-photon radiation detected with a SiPM (Silicon Photo Multiplier) silicon avalanche detector array. The use of a SiPM provides a reliable control of the quantum nature of the Poisson photocount statistics. A special algorithm with nonexponential complexity allows one to extract from the Poisson process all the randomness contained in it, namely, a random uniform sequence of 0 and 1.

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Authors and Affiliations

  1. Department of Physics, Moscow State University, Moscow, 119899, Russia

    K. A. Balygin, V. I. Zaitsev, A. N. Klimov & S. P. Kulik

  2. Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow, 119991, Russia

    A. N. Klimov

  3. Institute of Solid State Physics, Russian Academy of Sciences, Chernogolovka, Moscow oblast, 142432, Russia

    S. N. Molotkov

  4. Academy of Cryptography of the Russian Federation, Moscow, 121552, Russia

    S. N. Molotkov

  5. Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow, 119899, Russia

    S. N. Molotkov

  6. Quantum Technologies Center, Moscow State University, Moscow, 119899, Russia

    K. A. Balygin, V. I. Zaitsev, A. N. Klimov, S. P. Kulik & S. N. Molotkov

Authors
  1. K. A. Balygin
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  2. V. I. Zaitsev
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  3. A. N. Klimov
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  4. S. P. Kulik
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  5. S. N. Molotkov
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Corresponding author

Correspondence to S. N. Molotkov.

Additional information

Original Russian Text © K.A. Balygin, V.I. Zaitsev, A.N. Klimov, S.P. Kulik, S.N. Molotkov, 2018, published in Zhurnal Eksperimental’noi i Teoreticheskoi Fiziki, 2018, Vol. 153, No. 6, pp. 879–894.

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Balygin, K.A., Zaitsev, V.I., Klimov, A.N. et al. A Quantum Random Number Generator Based on the 100-Mbit/s Poisson Photocount Statistics. J. Exp. Theor. Phys. 126, 728–740 (2018). https://doi.org/10.1134/S1063776118060018

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  • DOI: https://doi.org/10.1134/S1063776118060018

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