Two-state spin systems with negative interactions

We study the approximability of computing the partition functions of two-state spin systems. The problem is parameterized by a 2 × 2 symmetric matrix. Previous results on this problem were restricted either to the case where the matrix has non-negative entries, or to the case where the diagonal entries are equal, i.e. Ising models. In this paper, we study the generalization to arbitrary 2 × 2 interaction matrices with real entries. We show that in some regions of the parameter space, it's #P-hard to even determine the sign of the partition function, while in other regions there are fully polynomial approximation schemes for the partition function. Our results reveal several new computational phase transitions.

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Publication Details

Journal
Information and Computation
Published
2025-08-25
DOI
https://doi.org/10.1016/j.ic.2025.105340
Primary Topic
Quantum chaos and dynamical systems
Type
article
Field-Weighted Citation Impact
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article

Two-state spin systems with negative interactions

Pinyan Lu, Leslie Ann Goldberg, Yumou Fei
Information and Computation
Quantum chaos and dynamical systems
article

Two-state spin systems with negative interactions

Pinyan Lu, Leslie Ann Goldberg, Yumou Fei
article en

Abstract

We study the approximability of computing the partition functions of two-state spin systems. The problem is parameterized by a 2 × 2 symmetric matrix. Previous results on this problem were restricted either to the case where the matrix has non-negative entries, or to the case where the diagonal entries are equal, i.e. Ising models. In this paper, we study the generalization to arbitrary 2 × 2 interaction matrices with real entries. We show that in some regions of the parameter space, it's #P-hard to even determine the sign of the partition function, while in other regions there are fully polynomial approximation schemes for the partition function. Our results reveal several new computational phase transitions.

Information and ComputationVol. 307
Shanghai University of Finance and Economics (CN), Peking University (CN), University of Oxford (GB)
Openalex Percentile: Top 82%
Quantum chaos and dynamical systems
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