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Study of photon statistics using a compound Poisson distribution and quadrature measurements

  • Optical Information Technologies
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Optoelectronics, Instrumentation and Data Processing Aims and scope

Abstract

This paper describes the model of a compound Poisson distribution for photon statistics with regard to their bunching in Fock states, thermal states, and others. The method of generating functions is used to calculate the probability distributions, moments, and correlation functions. The parameters of conditional states arising from the subtraction of photons by splitting the beam are determined. The problem of state reconstruction with regard to quadrature quantum measurements is considered. The study is aimed at developing high-precision methods for generating and controlling optical quantum states.

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Author information

Authors and Affiliations

  1. Institute of Physics and Technology, Russian Academy of Sciences, Nakhimovskii Prospekt 36/1, Moscow, 117218, Russia

    Yu. I. Bogdanov, N. A. Bogdanova, K. G. Katamadze, G. V. Avosopyants & V. F. Lukichev

  2. National Research Nuclear University “MEPhI”, Kashirskoye Shosse 31, Moscow, 115409, Russia

    Yu. I. Bogdanov

  3. National Research University of Electronic Technology, pl. Shokina 1, Moscow, 124498, Zelenograd, Russia

    Yu. I. Bogdanov, N. A. Bogdanova & G. V. Avosopyants

  4. M. V. Lomonosov Moscow State University, Leninskiye Gory 1, Moscow, 119991, Russia

    K. G. Katamadze

Authors
  1. Yu. I. Bogdanov
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  2. N. A. Bogdanova
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  3. K. G. Katamadze
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  4. G. V. Avosopyants
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  5. V. F. Lukichev
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Corresponding author

Correspondence to Yu. I. Bogdanov.

Additional information

Original Russian Text © Yu.I. Bogdanov, N.A. Bogdanova, K.G. Katamadze, G.V. Avosopyants, V.F. Lukichev, 2016, published in Avtometriya, 2016, Vol. 52, No. 5, pp. 71–83.

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Bogdanov, Y.I., Bogdanova, N.A., Katamadze, K.G. et al. Study of photon statistics using a compound Poisson distribution and quadrature measurements. Optoelectron.Instrument.Proc. 52, 475–485 (2016). https://doi.org/10.3103/S8756699016050095

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  • DOI: https://doi.org/10.3103/S8756699016050095

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