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Thermodynamic significance of QUBO encoding on quantum annealers

Emery Doucet, Zakaria Mzaouali, Reece Robertson, Bart{\l}omiej Gardas, Sebastian Deffner, Krzysztof Domino
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Researchers analyzed how QUBO penalty weights—specifically $p_{\rm sum}$ and $p_{\rm pair}$—alter energy landscapes in quantum annealers, using a Job Shop Scheduling problem as a test case. Sharp transitions in solver success and feasibility emerged when varying these parameters on D-Wave hardware and classical heuristics. The study treated quantum annealers as open thermodynamic systems, employing reverse-annealing cycles to measure stochastic energy changes. These experiments revealed how penalty choices directly influence entropy production, work, and heat exchange during computation. Weak penalties created low-energy infeasible states, degrading solution quality, while excessive penalties suppressed problem energy scales, increasing irreversibility and reducing thermodynamic efficiency. Both extremes harmed performance. Adiabatic master equation simulations corroborated experimental trends, linking computational hardness to thermodynamic dissipation. The findings suggest penalty weights act as control knobs for balancing efficiency and accuracy in noisy quantum processors. The work advocates for thermodynamics-aware QUBO encoding strategies to optimize performance in near-term quantum annealers, bridging computational and physical constraints in problem formulation.
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Quantum Physics arXiv:2601.04402 (quant-ph) [Submitted on 7 Jan 2026] Title:Thermodynamic significance of QUBO encoding on quantum annealers Authors:Emery Doucet, Zakaria Mzaouali, Reece Robertson, Bartłomiej Gardas, Sebastian Deffner, Krzysztof Domino View a PDF of the paper titled Thermodynamic significance of QUBO encoding on quantum annealers, by Emery Doucet and 5 other authors View PDF HTML (experimental) Abstract:Quadratic unconstrained binary optimization (QUBO) is the standard interface to quantum annealers, yet a single constrained task admits many QUBO encodings whose penalty choices reshape the energy landscape experienced by hardware. We study a Job Shop Scheduling instance using a two-parameter family of encodings controlled by penalty weights $p_{\rm sum}$ (one-hot/sum constraints) and $p_{\rm pair}$ (precedence constraints). Sweeping $(p_{\rm sum},p_{\rm pair})$, we observe sharp transitions in feasibility and solver success across classical annealing-inspired heuristics and on a D-Wave Advantage processor. Going beyond solution probability, we treat the annealer as an open thermodynamic system and perform cyclic reverse-annealing experiments initialized from thermal samples, measuring the stochastic processor energy change. From the first two moments of this energy change we infer lower bounds on entropy production, work, and exchanged heat via thermodynamic uncertainty relations, and corroborate the observed trends with adiabatic master equation simulations. We find that the same encoding transitions that govern computational hardness also reorganize dissipation: weak penalties generate low-energy infeasible manifolds, while overly strong penalties suppress the effective problem energy scale and increase irreversibility, reducing the thermodynamic efficiency. Our results establish QUBO penalties as thermodynamic control knobs and motivate thermodynamics-aware encoding strategies for noisy intermediate-scale quantum annealers. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2601.04402 [quant-ph] (or arXiv:2601.04402v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2601.04402 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Emery Doucet [view email] [v1] Wed, 7 Jan 2026 21:18:54 UTC (1,118 KB) Full-text links: Access Paper: View a PDF of the paper titled Thermodynamic significance of QUBO encoding on quantum annealers, by Emery Doucet and 5 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-01 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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d-wave
energy-climate
quantum-annealing
quantum-optimization

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