Literature DB >> 29932715

Toward Scalable Boson Sampling with Photon Loss.

Hui Wang1,2,3, Wei Li1,2,3, Xiao Jiang1,2,3, Y-M He1,2,3, Y-H Li1,2,3, X Ding1,2,3, M-C Chen1,2,3, J Qin1,2,3, C-Z Peng1,2,3, C Schneider4, M Kamp4, W-J Zhang5, H Li5, L-X You5, Z Wang5, J P Dowling6,7, S Höfling1,4,8, Chao-Yang Lu1,2,3, Jian-Wei Pan1,2,3.   

Abstract

Boson sampling is a well-defined task that is strongly believed to be intractable for classical computers, but can be efficiently solved by a specific quantum simulator. However, an outstanding problem for large-scale experimental boson sampling is the scalability. Here we report an experiment on boson sampling with photon loss, and demonstrate that boson sampling with a few photons lost can increase the sampling rate. Our experiment uses a quantum-dot-micropillar single-photon source demultiplexed into up to seven input ports of a 16×16 mode ultralow-loss photonic circuit, and we detect three-, four- and fivefold coincidence counts. We implement and validate lossy boson sampling with one and two photons lost, and obtain sampling rates of 187, 13.6, and 0.78 kHz for five-, six-, and seven-photon boson sampling with two photons lost, which is 9.4, 13.9, and 18.0 times faster than the standard boson sampling, respectively. Our experiment shows an approach to significantly enhance the sampling rate of multiphoton boson sampling.

Entities:  

Year:  2018        PMID: 29932715     DOI: 10.1103/PhysRevLett.120.230502

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-15       Impact factor: 11.205

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Authors:  A N McCaughan; V B Verma; S Buckley; J P Allmaras; A G Kozorezov; A N Tait; S W Nam; J M Shainline
Journal:  Nat Electron       Date:  2019

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Authors:  Ravitej Uppu; Freja T Pedersen; Ying Wang; Cecilie T Olesen; Camille Papon; Xiaoyan Zhou; Leonardo Midolo; Sven Scholz; Andreas D Wieck; Arne Ludwig; Peter Lodahl
Journal:  Sci Adv       Date:  2020-12-09       Impact factor: 14.136

4.  Theory of quantum path computing with Fourier optics and future applications for quantum supremacy, neural networks and nonlinear Schrödinger equations.

Authors:  Burhan Gulbahar
Journal:  Sci Rep       Date:  2020-07-03       Impact factor: 4.379

  4 in total

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