Combinatorial summation of Feynman diagrams

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.

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Publication Details

Journal
Nature Communications
Published
2024-09-10
DOI
https://doi.org/10.1038/s41467-024-52000-6
Citations
3
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
1.01

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article

Combinatorial summation of Feynman diagrams

Evgeny Kozik
3 citations
Nature Communications
Quantum many-body systems
1.01
article

Combinatorial summation of Feynman diagrams

Evgeny Kozik
article en
3 citations

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.

Nature CommunicationsVol. 15(1)
King's College London (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 25%
Quantum many-body systems
1.01
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