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Reaching states below the threshold energy in spin glasses via quantum annealing

arXiv Quantum Physics
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⚡ Quantum Brief
A March 2026 study reveals quantum annealing can surpass classical limits in spin-glass optimization, achieving sub-threshold energy states in constant time, defying long-held assumptions about exponential slowdowns in infinite-range systems. Researcher Christopher Baldwin demonstrates quantum annealing outperforms classical simulated annealing by reaching lower energies up to twice as fast, with residual energy decaying as τ⁻ᵅ—critical for practical approximate optimization in complex problems. The work focuses on spherical p-spin models, showing quantum annealing exploits dynamic loopholes like two-stage quenches to bypass the "threshold energy" trap, previously thought absolute for all annealing methods. Unlike finite-size simulations, the study uses thermodynamic-limit equations, eliminating scaling ambiguities and proving annealing times remain independent of system size—a major step for real-world quantum optimization applications. This challenges the notion that quantum annealing’s sole advantage lies in ground-state searches, instead highlighting its superiority in rapid, high-quality approximate solutions for disordered systems.
Reaching states below the threshold energy in spin glasses via quantum annealing

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Quantum Physics arXiv:2603.23602 (quant-ph) [Submitted on 24 Mar 2026] Title:Reaching states below the threshold energy in spin glasses via quantum annealing Authors:Christopher L. Baldwin View a PDF of the paper titled Reaching states below the threshold energy in spin glasses via quantum annealing, by Christopher L. Baldwin View PDF HTML (experimental) Abstract:Although quantum annealing is usually considered as a method for locating the ground states of difficult spin-glass and optimization problems, its use in approximate optimization -- finding low- but not zero-energy states in a reasonably short amount of time -- is no less important. Here we investigate the behavior of quantum annealing at approximate optimization in the canonical mean-field spin-glass models, the spherical $p$-spin models, and find that it performs surprisingly well. Whereas it had long been assumed that infinite-range spin glasses have a unique ``threshold'' energy at which all quench and annealing dynamics become trapped until exponential timescales, recent work has shown that two-stage quenches can in fact reach states below the naive threshold in more generic situations. We demonstrate that quantum annealing is also capable of exploiting this effect to locate sub-threshold states in $O(1)$ time. Not only can it attain energies as far below the threshold as classical annealing algorithms, but it can do so significantly faster: for an annealing schedule taking time $\tau$, the residual energy under quantum annealing decays as $\tau^{-\alpha}$ with an exponent up to twice as large as that of simulated annealing in the cases considered. Importantly, by deriving and numerically solving closed integro-differential equations that hold in the thermodynamic limit, our results are free from finite-size effects and hold for annealing times that are unambiguously independent of system size. Comments: Subjects: Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech) Cite as: arXiv:2603.23602 [quant-ph] (or arXiv:2603.23602v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2603.23602 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Christopher Baldwin [view email] [v1] Tue, 24 Mar 2026 18:00:04 UTC (509 KB) Full-text links: Access Paper: View a PDF of the paper titled Reaching states below the threshold energy in spin glasses via quantum annealing, by Christopher L. BaldwinView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-03 Change to browse by: cond-mat cond-mat.dis-nn cond-mat.stat-mech References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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Source: arXiv Quantum Physics