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2025, 06, v.35 5-12+23
从单粒子到多体系统:精确对角化在计算物理教学中的实践
基金项目(Foundation): 国家自然科学基金面上项目(12474248); 中山大学2024年度校级教学质量工程项目(教务[2023]207号)
邮箱(Email): wuhanq3@mail.sysu.edu.cn;yaodaox@mail.sysu.edu.cn;
DOI:
摘要:

精确对角化是求解量子力学问题最直观的数值方法,广泛应用于少体与多体系统,是计算物理课程的核心内容之一。本文基于“由浅入深”的教学理念,系统介绍了如何在本科计算物理课程中讲授精确对角化方法:从单粒子系统出发,逐步拓展至多体量子系统。通过一系列精心设计的教学示例,学生不仅掌握了基矢选取、对称性使用、矩阵构建与对角化等关键步骤,也深入理解了该方法的优势与局限。这一教学过程有效衔接了量子力学形式体系与前沿多体数值方法,为学生后续学习密度矩阵重整化群、张量网络等高级多体计算方法奠定了坚实基础。

Abstract:

Exact diagonalization serves as the most intuitive numerical approach for solving quantum problems and is widely applied in both few-body and many-body systems, making it a core component of computational physics curricula. Guided by a scaffolded teaching philosophy that progresses from fundamental to advanced concepts, this paper systematically outlines the instruction of exact diagonalization in undergraduate computational physics courses—beginning with single-particle systems and gradually advancing to quantum many-body systems. Through a series of carefully designed pedagogical examples, students not only master key procedural steps such as basis selection, symmetry utilization, matrix construction, and diagonalization, but also develop a deeper comprehension of the method's strengths and limitations. This instructional framework effectively bridges the formalism of quantum mechanics with cutting-edge many-body numerical techniques, laying a solid groundwork for students' future exploration of advanced many-body computational methods such as the density matrix renormalization group and tensor networks.

参考文献

[1]THIJSSEN J M.Computational physics[M].2nd ed.Cambridge:Cambridge University Press,2007.

[2]PRESS H,TEUKOLSKY S.A,VETTERLING W T,et al.Numerical recipes:The art of scientific computing[M].3rd ed.Cambridge:Cambridge University Press,2007.

[3]LANCZOS C.An iteration method for the solution of the eigenvalue problem of linear differential and integral operators[J].Journal of Research of the National Bureau of Standards,1950,45(4):255-282.

[4]SANDVIK W.Computational studies of quantum spin systems[C].AIP Conference Proceedings.Puerto Rico:AIP,2010:135-338.

[5]WHITE R.Density matrix formulation for quantum renormalization groups[J].Physical Review Letters,1992,69(19):2863-2866.

[6]ORúS R.Tensor networks for complex quantum systems[J].Nature Reviews Physics,2019,1(9):538-550.

[7]XIANG T.Density matrix and tensor network renormalization[M].Cambridge:Cambridge University Press,2023.

[8]冉世举.张量网络[M].北京:首都师范大学出版社,2022.RAN J.Tensor networks[M].Beijing:Capital Normal University Press,2022.(in Chinese)

[9]蔡子.机器学习方法在量子多体物理中的应用[J].物理,2017,46(9):590-596.CAI Z.Application of machine learning methods in quantum many-body physics[J].Physics (Beijing),2017,46(9):590-596.(in Chinese)

基本信息:

中图分类号:O4-4;G642

引用信息:

[1]邬汉青,姚道新.从单粒子到多体系统:精确对角化在计算物理教学中的实践[J].物理与工程,2025,35(06):5-12+23.

基金信息:

国家自然科学基金面上项目(12474248); 中山大学2024年度校级教学质量工程项目(教务[2023]207号)

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