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费曼图的组合求和。

Combinatorial summation of Feynman diagrams.

作者信息

Kozik Evgeny

机构信息

Department of Physics, King's College London, London, UK.

出版信息

Nat Commun. 2024 Sep 10;15(1):7916. doi: 10.1038/s41467-024-52000-6.

DOI:10.1038/s41467-024-52000-6
PMID:39256341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11387657/
Abstract

Feynman's diagrammatic series is a common language for a formally exact theoretical description of systems of infinitely-many interacting quantum particles, as well as a foundation for precision computational techniques. Here we introduce a universal framework for efficient summation of connected or skeleton Feynman diagrams for generic quantum many-body systems. It is based on an explicit combinatorial construction of the sum of the integrands by dynamic programming, at a computational cost that can be made only exponential in the diagram order on a classical computer and potentially polynomial on a quantum computer. We illustrate the technique by an unbiased diagrammatic Monte Carlo calculation of the equation of state of the 2D SU(N) Hubbard model in an experimentally relevant regime, which has remained challenging for state-of-the-art numerical methods.

摘要

费曼图级数是一种用于对无限多个相互作用量子粒子系统进行形式上精确的理论描述的通用语言,也是精确计算技术的基础。在这里,我们为通用量子多体系统的连通或骨架费曼图的高效求和引入了一个通用框架。它基于通过动态规划对被积函数之和进行显式组合构造,在经典计算机上的计算成本仅在图的阶数上呈指数增长,而在量子计算机上可能呈多项式增长。我们通过对二维SU(N)哈伯德模型在实验相关区域的状态方程进行无偏图蒙特卡罗计算来说明该技术,这对现有数值方法来说一直具有挑战性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/8d9110c02030/41467_2024_52000_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/06f59ee8f3da/41467_2024_52000_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/d176190d1c67/41467_2024_52000_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/54bdd98b27bc/41467_2024_52000_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/8a970c59d7bc/41467_2024_52000_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/8d9110c02030/41467_2024_52000_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/06f59ee8f3da/41467_2024_52000_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/d176190d1c67/41467_2024_52000_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/54bdd98b27bc/41467_2024_52000_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/8a970c59d7bc/41467_2024_52000_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f059/11387657/8d9110c02030/41467_2024_52000_Fig5_HTML.jpg

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本文引用的文献

1
Equation of State and Thermometry of the 2D SU(N) Fermi-Hubbard Model.二维SU(N)费米-哈伯德模型的状态方程与温度测量
Phys Rev Lett. 2024 Feb 23;132(8):083401. doi: 10.1103/PhysRevLett.132.083401.
2
Quantum-enhanced Markov chain Monte Carlo.量子增强马尔可夫链蒙特卡罗方法。
Nature. 2023 Jul;619(7969):282-287. doi: 10.1038/s41586-023-06095-4. Epub 2023 Jul 12.
3
Evaluating Second-Order Phase Transitions with Diagrammatic Monte Carlo: Néel Transition in the Doped Three-Dimensional Hubbard Model.用图解蒙特卡罗方法评估二阶相变:掺杂三维哈伯德模型中的奈尔相变
Phys Rev Lett. 2022 Sep 2;129(10):107202. doi: 10.1103/PhysRevLett.129.107202.
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Practical quantum advantage in quantum simulation.量子模拟中的实用量子优势。
Nature. 2022 Jul;607(7920):667-676. doi: 10.1038/s41586-022-04940-6. Epub 2022 Jul 27.
5
Homotopic Action: A Pathway to Convergent Diagrammatic Theories.
Phys Rev Lett. 2021 Jun 25;126(25):257001. doi: 10.1103/PhysRevLett.126.257001.
6
Entropy in the Non-Fermi-Liquid Regime of the Doped 2D Hubbard Model.掺杂二维哈伯德模型非费米液体区域的熵
Phys Rev Lett. 2021 Mar 12;126(10):105701. doi: 10.1103/PhysRevLett.126.105701.
7
Spin and Charge Correlations across the Metal-to-Insulator Crossover in the Half-Filled 2D Hubbard Model.半填充二维哈伯德模型中金属-绝缘体转变处的自旋与电荷关联
Phys Rev Lett. 2020 Mar 20;124(11):117602. doi: 10.1103/PhysRevLett.124.117602.
8
Extended Crossover from a Fermi Liquid to a Quasiantiferromagnet in the Half-Filled 2D Hubbard Model.扩展的费米液体到二维 Hubbard 模型中半满时的准反铁磁体的交叉。
Phys Rev Lett. 2020 Jan 10;124(1):017003. doi: 10.1103/PhysRevLett.124.017003.
9
A combined variational and diagrammatic quantum Monte Carlo approach to the many-electron problem.一种用于多电子问题的变分与图解量子蒙特卡罗相结合的方法。
Nat Commun. 2019 Aug 19;10(1):3725. doi: 10.1038/s41467-019-11708-6.
10
Antiferromagnetic Spin Correlation of SU(N) Fermi Gas in an Optical Superlattice.SU(N) 费米气体在光晶格中的反铁磁自旋关联。
Phys Rev Lett. 2018 Nov 30;121(22):225303. doi: 10.1103/PhysRevLett.121.225303.