Laser & Optoelectronics Progress, Volume. 59, Issue 21, 2127002(2022)

Simulation of Markov Chain Monte Carlo Boson Sampling Based on Photon Losses

Xun Huang, Ming Ni, Yang Ji*, and Yongzheng Wu
Author Affiliations
  • The 32nd Research Institute of China Electronics Technology Group Corporation, Shanghai 201800, China
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    Figures & Tables(5)
    Boson sampling model with photon losses. (a) 4-photon and 8-mode optical network with photon losses; (b) partial output combinations of photons obtained by MCMC method
    Probabilities of samples containing photon lossesincreasing under different optical network scales
    Updated curves of Bayesian test results with different photon loss probabilities. (a) 0.01; (b) 0.03; (c) 0.05; (d) 0.07
    Number of samples updating with τthin increasing with different photon loss probabilities, when Bayesian test result reaches 1. (a) 0.01; (b) 0.03; (c) 0.05; (d) 0.07
    Number of samples updating with τthin increasing under different optical network scales, when Bayesian test result reaches 1
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    Xun Huang, Ming Ni, Yang Ji, Yongzheng Wu. Simulation of Markov Chain Monte Carlo Boson Sampling Based on Photon Losses[J]. Laser & Optoelectronics Progress, 2022, 59(21): 2127002

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    Paper Information

    Category: Quantum Optics

    Received: Sep. 26, 2021

    Accepted: Nov. 2, 2021

    Published Online: Oct. 31, 2022

    The Author Email: Yang Ji (yangjimtz@qq.com)

    DOI:10.3788/LOP202259.2127002

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