Advanced Photonics, Volume. 4, Issue 2, 026004(2022)

Optical neural network quantum state tomography

Ying Zuo1、†, Chenfeng Cao1, Ningping Cao2,3, Xuanying Lai4, Bei Zeng1、*, and Shengwang Du4、*
Author Affiliations
  • 1The Hong Kong University of Science and Technology, Department of Physics, Hong Kong, China
  • 2University of Guelph, Department of Mathematics and Statistics, Guelph, Ontario, Canada
  • 3University of Waterloo, Institute for Quantum Computing, Waterloo, Ontario, Canada
  • 4The University of Texas at Dallas, Department of Physics, Richardson, Texas, United States
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    References(53)

    [2] G. M. D’Ariano, P. W. Hawkes, M. G. Paris, M. F. Sacchi. Quantum tomography. Adv. Imaging Electron Phys., 128, 206-309(2003).

    [7] R. O’Donnell, J. Wright. Efficient quantum tomography, 899-912(2016).

    [14] N. Cao et al. Neural networks for quantum inverse problems(2021).

    [41] D. P. Kingma, J. Ba. Adam: a method for stochastic optimization(2017).

    [44] C. Cao et al. Quantum imaginary time evolution steered by reinforcement learning(2021).

    [51] B. Xu et al. Empirical evaluation of rectified activations in convolutional network(2015).

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    Ying Zuo, Chenfeng Cao, Ningping Cao, Xuanying Lai, Bei Zeng, Shengwang Du, "Optical neural network quantum state tomography," Adv. Photon. 4, 026004 (2022)

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    Paper Information

    Category: Research Articles

    Received: Nov. 23, 2021

    Accepted: Feb. 21, 2022

    Posted: Feb. 22, 2022

    Published Online: Mar. 25, 2022

    The Author Email: Zeng Bei (zengb@ust.hk), Du Shengwang (dusw@utdallas.edu)

    DOI:10.1117/1.AP.4.2.026004

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