Laser & Optoelectronics Progress, Volume. 60, Issue 11, 1106009(2023)

Progress on Quantum-Enhanced Time-Varying Parameter Estimation

Kaimin Zheng1,2,3,4 and Lijian Zhang1,2,3,4、*
Author Affiliations
  • 1National Laboratory of Solid State Microstructures, Nanjing University, Nanjing 210023, Jiangsu, China
  • 2Key Laboratory of Intelligent Optical Sensing and Manipulation, Ministry of Education, Nanjing 210023, Jiangsu, China
  • 3Collaborative Innovation Center of Advanced Microstructures, Nanjing 210023, Jiangsu, China
  • 4College of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, Jiangsu, China
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    The quantum precision measurement method achieves higher accuracy and resolution than conventional measurement methods. Over the past few decades, there is significant progress in the field of quantum-enhanced metrology with respect to the estimation of fixed parameters. However, estimating time-varying parameters is one of the key tasks in numerous practical engineering applications, such as gravitational wave detection, navigation, and positioning. Therefore, designing an effective quantum-enhanced time-varying parameter-estimation method and perfecting the time-varying parameter-estimation theory are important research components related to quantum precision measurement. Recent studies have demonstrated that the accuracy limits of time-varying parameter estimation are closely related to the continuous nature of the signal itself. Moreover, similar to fixed signal measurements, nonclassical sources such as squeezed states can improve the accuracy of time-varying parameter estimation. This review introduces several accuracy limits related to time-varying parameter estimation and summarizes the related research progress.

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    Kaimin Zheng, Lijian Zhang. Progress on Quantum-Enhanced Time-Varying Parameter Estimation[J]. Laser & Optoelectronics Progress, 2023, 60(11): 1106009

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: May. 11, 2023

    Accepted: May. 23, 2023

    Published Online: Jun. 14, 2023

    The Author Email: Zhang Lijian (lijian.zhang@nju.edu.cn)

    DOI:10.3788/LOP231285

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