Quick Navigation
Topics
Quantum Foundations
Exploring Replica Symmetry Breaking and Topological Collapse in Spin Glasses with Quantum Annealing
arXiv
Authors: Kumar Ghosh
Year
2025
Paper ID
17419
Status
Preprint
Abstract Read
~2 min
Abstract Words
157
Citations
N/A
Abstract
Replica symmetry breaking (RSB) underlies the complex organization of disordered systems, yet quantitative validation beyond N sim 100 spins has remained computationally challenging. We use quantum annealing to access ground states of the Sherrington-Kirkpatrick model up to N = 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 N-2/3 corrections, energy fluctuations scale as N-3/4 $γ= 0.739 pm 0.036$, the chaos exponent θ= 0.51 pm 0.02 $R2 = 0.989$ confirms mean-field universality, the overlap distribution exhibits hierarchical structure $σq = 0.19$, and the complexity remains invariant under 36% network dilution. Beyond a critical threshold 0.8 < Dc < 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. 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.
Why This Paper Matters
- This paper contributes to the Quantum Foundations research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- Replica symmetry breaking (RSB) underlies the complex organization of disordered systems, yet quantitative validation beyond N sim 100 spins has remained computationally...
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.