Study of instructional methods in quantum parameter estimation with QuanEstimation#br#

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  • 1.School of Physics and Optoelectronic Engineering, Hainan University, Haikou, Hainan 570228, China; 
    2.School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China

Received date: 2024-10-30

  Revised date: 2025-02-20

  Online published: 2025-11-19

Abstract

This paper presents the study of the instructional methods in quantum parameter estimation based on the open-source software QuanEstimation developed by the author’s group.QuanEstimation is the first versatile computational and scheme design toolbox in the field of quantum parameter estimation.Utilizing this software, most precision-evaluation tools in quantum parameter estimation, including the quantum Cramér-Rao lower bound and Holevo Cramér-Rao lower bound, can be efficiently calculated and demonstrated in the multimedia teaching process.The proposed instructional method overcomes the issue of massive mathematical derivations in the teaching of quantum parameter estimation and the inability to intuitively visualize the calculation results.Hence, this method significantly enhances the visualization of teaching.


Cite this article

LIU Jing1, QIN Jinfeng1, 2 . Study of instructional methods in quantum parameter estimation with QuanEstimation#br#[J]. College Physics, 2025 , 44(9) : 69 . DOI: 10.16854/j.cnki.1000-0712.240492

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