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This paper establishes a rigorous polynomial-time algorithm for computing the log-partition function of weakly interacting fermions, resolving a long-standing theoretical gap in quantum Monte Carlo methods. By leveraging a novel tree-determinant expansion and belief propagation, the work provides a mathematically guaranteed efficiency improvement over traditional Markov chain approaches for non-periodic systems.
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Convergence of the Cumulant Expansion and Polynomial-Time Algorithm for Weakly Interacting Fermions

arXiv2 min read

arXiv:2512.12010v2 Announce Type: replace Abstract: We propose a randomized algorithm to compute the log-partition function of weakly interacting fermions with polynomial runtime in both the system size and precision. Although weakly interacting fermionic systems are considered tractable for many computational methods such as the diagrammatic quantum Monte Carlo, a mathematically rigorous proof of polynomial runtime has been lacking. In this work we first extend the proof techniques developed in previous works for proving the convergence of the cumulant expansion in periodic systems to the non-periodic case. A key equation used to analyze the sum of connected Feynman diagrams, which we call the tree-determinant expansion, reveals an underlying tree structure in the summation. This enables us to design a new randomized algorithm to compute the log-partition function through importance sampling augmented by belief propagation. This approach differs from the traditional method based on Markov chain Monte Carlo, whose efficiency is hard to guarantee, and enables us to obtain a algorithm with provable polynomial runtime.

Abstract:We propose a randomized algorithm to compute the log-partition function of weakly interacting fermions with polynomial runtime in both the system size and precision. Although weakly interacting fermionic systems are considered tractable for many computational methods such as the diagrammatic quantum Monte Carlo, a mathematically rigorous proof of polynomial runtime has been lacking. In this work we first extend the proof techniques developed in previous works for proving the convergence of the cumulant expansion in periodic systems to the non-periodic case. A key equation used to analyze the sum of connected Feynman diagrams, which we call the tree-determinant expansion, reveals an underlying tree structure in the summation. This enables us to design a new randomized algorithm to compute the log-partition function through importance sampling augmented by belief propagation. This approach differs from the traditional method based on Markov chain Monte Carlo, whose efficiency is hard to guarantee, and enables us to obtain a algorithm with provable polynomial runtime.

Quantum Physics (quant-ph); Mathematical Physics (math-ph); Numerical Analysis (math.NA); Computational Physics (physics.comp-ph)

arXiv:2512.12010 [quant-ph]

(or arXiv:2512.12010v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2512.12010 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 259 words

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