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Many-body Quantum Score: a scalable benchmark for digital and analog quantum processors and first test on a commercial neutral atom device

Harold Erbin, Pierre-Louis Burdeau, Corentin Bertrand, Thomas Ayral, Gr\'egoire Misguich
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⚡ Quantum Brief
Researchers from France introduced the Many-body Quantum Score (MBQS), a new benchmark protocol to evaluate quantum processors’ ability to simulate complex many-body quantum dynamics, published in January 2026. MBQS measures performance by determining the largest qubit system where a quantum processor can accurately reproduce correlation functions of the transverse-field Ising model after a quantum quench. The protocol is designed for both digital and analog quantum processors, offering a scalable, application-level benchmark for near-term devices in many-body physics research. Experimental validation was conducted using Ruby, Pasqal’s commercial neutral-atom quantum processor based on Rydberg atoms, demonstrating MBQS’s practicality for real-world quantum hardware. Analytical insights, classical simulations, and experimental data support MBQS as a robust tool for assessing quantum advantage in simulating strongly correlated systems.
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Quantum Physics arXiv:2601.03461 (quant-ph) [Submitted on 6 Jan 2026] Title:Many-body Quantum Score: a scalable benchmark for digital and analog quantum processors and first test on a commercial neutral atom device Authors:Harold Erbin, Pierre-Louis Burdeau, Corentin Bertrand, Thomas Ayral, Grégoire Misguich View a PDF of the paper titled Many-body Quantum Score: a scalable benchmark for digital and analog quantum processors and first test on a commercial neutral atom device, by Harold Erbin and 4 other authors View PDF HTML (experimental) Abstract:We propose the Many-body Quantum Score (MBQS), a practical and scalable application-level benchmark protocol designed to evaluate the capabilities of quantum processing units (QPUs)--both gate-based and analog--for simulating many-body quantum dynamics. MBQS quantifies performance by identifying the maximum number of qubits with which a QPU can reliably reproduce correlation functions of the transverse-field Ising model following a specific quantum quench. This paper presents the MBQS protocol and highlights its design principles, supported by analytical insights, classical simulations, and experimental data. It also displays results obtained with Ruby, an analog QPU based on Rydberg atoms developed by the Pasqal company. These findings demonstrate MBQS's potential as a robust and informative tool for benchmarking near-term quantum devices for many-body physics. Comments: Subjects: Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el) Cite as: arXiv:2601.03461 [quant-ph] (or arXiv:2601.03461v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2601.03461 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Harold Erbin [view email] [v1] Tue, 6 Jan 2026 23:19:35 UTC (2,155 KB) Full-text links: Access Paper: View a PDF of the paper titled Many-body Quantum Score: a scalable benchmark for digital and analog quantum processors and first test on a commercial neutral atom device, by Harold Erbin and 4 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-01 Change to browse by: cond-mat cond-mat.str-el 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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neutral-atom
pasqal
quantum-annealing
quantum-hardware

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Source: arXiv Quantum Physics

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