Phase Transitions in a Modified Ising Spin Glass Model: A Tensor-Network-based Sampling Approach

Fuente: arXiv
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Autori principali: Oshima, Takumi, Arai, Yamato, Hukushima, Koji
Natura: Preprint
Pubblicazione: 2026
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author Oshima, Takumi
Arai, Yamato
Hukushima, Koji
author_facet Oshima, Takumi
Arai, Yamato
Hukushima, Koji
contents Phase transitions in a modified Nishimori model, including the model considered by Kitatani, on a two-dimensional square lattice are investigated using a tensor-network-based sampling scheme. In this model, generating bond configurations is computationally demanding because of the correlated random interactions. The employed sampling method enables hierarchical and independent sampling of both bonds and spins. This approach allows high-precision calculations for system sizes up to $L=256$. The results provide clear numerical evidence that the spin-glass and ferromagnetic transitions are separated on the Nishimori line, supporting the existence of an intermediate Mattis-like spin-glass phase. This finding is consistent with the reentrant transition numerically observed in the two-dimensional Edwards-Anderson (EA) model. Furthermore, critical exponents estimated via finite-size-scaling analysis indicate that the universality class of the transitions differs from that of the standard independent and identically distributed EA model.
format Preprint
id arxiv_https___arxiv_org_abs_2603_18486
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Phase Transitions in a Modified Ising Spin Glass Model: A Tensor-Network-based Sampling Approach
Oshima, Takumi
Arai, Yamato
Hukushima, Koji
Disordered Systems and Neural Networks
Phase transitions in a modified Nishimori model, including the model considered by Kitatani, on a two-dimensional square lattice are investigated using a tensor-network-based sampling scheme. In this model, generating bond configurations is computationally demanding because of the correlated random interactions. The employed sampling method enables hierarchical and independent sampling of both bonds and spins. This approach allows high-precision calculations for system sizes up to $L=256$. The results provide clear numerical evidence that the spin-glass and ferromagnetic transitions are separated on the Nishimori line, supporting the existence of an intermediate Mattis-like spin-glass phase. This finding is consistent with the reentrant transition numerically observed in the two-dimensional Edwards-Anderson (EA) model. Furthermore, critical exponents estimated via finite-size-scaling analysis indicate that the universality class of the transitions differs from that of the standard independent and identically distributed EA model.
title Phase Transitions in a Modified Ising Spin Glass Model: A Tensor-Network-based Sampling Approach
topic Disordered Systems and Neural Networks
url https://arxiv.org/abs/2603.18486