Laser & Optoelectronics Progress, Volume. 59, Issue 21, 2127002(2022)
Simulation of Markov Chain Monte Carlo Boson Sampling Based on Photon Losses
Fig. 1. 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
Fig. 2. Probabilities of samples containing photon lossesincreasing under different optical network scales
Fig. 3. Updated curves of Bayesian test results with different photon loss probabilities. (a) 0.01; (b) 0.03; (c) 0.05; (d) 0.07
Fig. 4. 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
Fig. 5. 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
Category: Quantum Optics
Received: Sep. 26, 2021
Accepted: Nov. 2, 2021
Published Online: Oct. 31, 2022
The Author Email: Yang Ji (yangjimtz@qq.com)