Sample caching Markov chain Monte Carlo approach to boson sampling simulation

Sample caching Markov chain Monte Carlo approach to boson sampling simulation

Boson sampling is a promising candidate for quantum supremacy. It requires to sample from a complicated distribution, and is trusted to be intractable on classical computers. Among the various classical sampling methods, the Markov chain Monte Carlo method is an important approach to the simulation...

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Bibliographic Details
Main Authors: Yong Liu, Min Xiong, Chunqing Wu, Dongyang Wang, Yingwen Liu, Jiangfang Ding, Anqi Huang, Xiang Fu, Xiaogang Qiang, Ping Xu, Mingtang Deng, Xuejun Yang, Junjie Wu
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:New Journal of Physics
Subjects:
boson sampling
quantum supremacy
Markov chain Monte Carlo
autocorrelation
sample caching
Online Access:https://doi.org/10.1088/1367-2630/ab73c4

Internet

https://doi.org/10.1088/1367-2630/ab73c4

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