本文主要介绍了基于开源计算软件QuanEstimation的量子参数估计教学方法研究.QuanEstimation为作者团队自主研发的量子参数估计领域内首款通用计算和方案设计软件.利用该软件，量子参数估计中多种精度评估工具，如量子Cramér-Rao下界、Holevo 型量子Cramér-Rao下界等，均可在多媒体教学中轻松完成课堂演示计算.这一教学方法解决了传统量子参数估计教学中数学推导过多，无法直观展示计算结果的问题，因而大幅提高了教学的可视化程度.

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.