English

Exploring Replica Symmetry Breaking and Topological Collapse in Spin Glasses with Quantum Annealing

Disordered Systems and Neural Networks 2025-12-02 v2 Statistical Mechanics Strongly Correlated Electrons Computational Physics Quantum Physics

Abstract

Replica symmetry breaking (RSB) underlies the complex organization of disordered systems, yet quantitative validation beyond N100N \sim 100 spins has remained computationally challenging. We use quantum annealing to access ground states of the Sherrington-Kirkpatrick model up to N=4000N = 4000 spins, enabling the most extensive test of Parisi's Nobel Prize-winning RSB solution to date. Five independent observables confirm RSB predictions: ground-state energies converge to Parisi's value with characteristic N2/3N^{-2/3} corrections, energy fluctuations scale as N3/4N^{-3/4} (γ=0.739±0.036\gamma = 0.739 \pm 0.036), the chaos exponent θ=0.51±0.02\theta = 0.51 \pm 0.02 (R2=0.989R^2 = 0.989) confirms mean-field universality, the overlap distribution exhibits hierarchical structure (σq=0.19\sigma_q = 0.19), and the complexity remains invariant under 36\% network dilution. Beyond a critical threshold 0.8<Dc<0.90.8 < D_c < 0.9, the hierarchy collapses discontinuously through a cooperative avalanche that converts the entire system to vacancies within a narrow parameter window ΔD=0.1\Delta D = 0.1. These findings establish quantum computation as a tool for probing emergent many-body phenomena and uncover the topological foundations of complexity in disordered systems, with implications for neural networks, optimization, and materials science.

Cite

@article{arxiv.2511.06403,
  title  = {Exploring Replica Symmetry Breaking and Topological Collapse in Spin Glasses with Quantum Annealing},
  author = {Kumar Ghosh},
  journal= {arXiv preprint arXiv:2511.06403},
  year   = {2025}
}

Comments

5 pages, 5 figures