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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    References(20)

    [1] Jiang Y N. A survey on the development trend of quantum computing[J]. Unmanned Systems Technology, 3, 67-74(2020).

    [2] Zhang H Y, Cui X, Wu B B. Analysis of quantum computing industrial developments and applications[J]. Information and Communications Technology and Policy, 20-26(2020).

    [3] Aaronson S, Arkhipov A. The computational complexity of linear optics[C], 333-342(2011).

    [4] Huh J, Guerreschi G G, Peropadre B et al. Boson sampling for molecular vibronic spectra[J]. Nature Photonics, 9, 615-620(2015).

    [5] Tichy M C. Interference of identical particles from entanglement to boson-sampling[J]. Journal of Physics B: Atomic, Molecular and Optical Physics, 47, 103001(2014).

    [8] Aaronson S. A linear-optical proof that the permanent is #P-hard[J]. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 467, 3393-3405(2011).

    [9] Wang H, Qin J, Ding X et al. Boson sampling with 20 input photons and a 60-mode interferometer in a 1014-dimensional Hilbert space[J]. Physical Review Letters, 123, 250503(2019).

    [10] Aaronson S, Brod D J. BosonSampling with lost photons[J]. Physical Review A, 93, 012335(2016).

    [11] Oszmaniec M, Brod D J. Classical simulation of photonic linear optics with lost particles[J]. New Journal of Physics, 20, 092002(2018).

    [12] Ralph T C. Boson sampling on a chip[J]. Nature Photonics, 7, 514-515(2013).

    [13] Tillmann M, Dakić B, Heilmann R et al. Experimental boson sampling[J]. Nature Photonics, 7, 540-544(2013).

    [14] Wang H, He Y, Li Y H et al. High-efficiency multiphoton boson sampling[J]. Nature Photonics, 11, 361-365(2017).

    [15] Clements W R, Humphreys P C, Metcalf B J et al. Optimal design for universal multiport interferometers[J]. Optica, 3, 1460-1465(2016).

    [16] Neville A, Sparrow C, Clifford R et al. Classical boson sampling algorithms with superior performance to near-term experiments[J]. Nature Physics, 13, 1153-1157(2017).

    [17] Reck M, Zeilinger A, Bernstein H J et al. Experimental realization of any discrete unitary operator[J]. Physical Review Letters, 73, 58-61(1994).

    [18] Bentivegna M, Spagnolo N, Vitelli C et al. Bayesian approach to Boson sampling validation[J]. International Journal of Quantum Information, 12, 1560028(2014).

    [19] Dai Z, Liu Y, Xu P et al. A Bayesian validation approach to practical boson sampling[J]. Science China Physics, Mechanics & Astronomy, 63, 333-342(2020).

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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: Ji Yang (yangjimtz@qq.com)

    DOI:10.3788/LOP202259.2127002

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