Chinese Optics Letters, Volume. 22, Issue 6, 060009(2024)

Information-theoretic perspective on performance assessment and fundamental limit of quantum imaging [Invited]

Na Li1, Chenyu Hu2、*, and Xiao-Ming Lu1、**
Author Affiliations
  • 1School of Sciences, Hangzhou Dianzi University, Hangzhou 310018, China
  • 2Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
  • show less
    Figures & Tables(4)
    Diffraction limit understood in the perspective of modal transformation. Here, U is the Fourier transform and P stands for the projection that only allows low-spatial-frequency components at the Fourier plane to pass through, and U† is the adjoint of U. The red and green grids represent the coordinate space and the frequency space in the transverse plane, respectively.
    Quantum statistical inference process.
    Results of the Bayesian filtering method. (a) The estimation results of image information under different number of measurements; (b) the evaluated CRB distribution corresponding to (a); (c) variation of both the reconstruction MSE and evaluated average CRB with the sampling number under different SNRs (adapted from Fig. 2 in Ref. [54]).
    (a) The FI of different parts of detection signals as a function of relative intensity β (with respect to the mean intensity of the detection signals); (b) comparison of experimental results reconstructed from 15,000 samplings using the proposed scheme (left) and vanilla correlation scheme (right) (adapted from Figs. 7 and 8 in Ref. [57]).
    Tools

    Get Citation

    Copy Citation Text

    Na Li, Chenyu Hu, Xiao-Ming Lu, "Information-theoretic perspective on performance assessment and fundamental limit of quantum imaging [Invited]," Chin. Opt. Lett. 22, 060009 (2024)

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Special Issue: SPECIAL ISSUE ON QUANTUM IMAGING

    Received: Mar. 19, 2024

    Accepted: Apr. 25, 2024

    Published Online: Jun. 24, 2024

    The Author Email: Chenyu Hu (huchenyu@ucas.ac.cn), Xiao-Ming Lu (lxm@hdu.edu.cn)

    DOI:10.3788/COL202422.060009

    Topics