Reaching states below the threshold energy in spin glasses via quantum annealing
arXiv QuantumArchived Mar 26, 2026✓ Full text saved
arXiv:2603.23602v1 Announce Type: new 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
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Quantum Physics
[Submitted on 24 Mar 2026]
Reaching states below the threshold energy in spin glasses via quantum annealing
Christopher L. Baldwin
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: 5 pages of main text, 3 figures, 6 pages of supplement. Comments welcome!
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
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From: Christopher Baldwin [view email]
[v1] Tue, 24 Mar 2026 18:00:04 UTC (509 KB)
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