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Programming long-range interactions in analog quantum simulators

arXiv Quantum Physics
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Researchers developed a hybrid classical-quantum toolbox to program long-range interactions in analog quantum simulators, leveraging recent advances in multi-mode cavities, waveguides, and Raman-assisted transitions for dynamic control. The approach uses classical pre-compilation on small systems, iteratively extrapolating optimized parameters to larger scales (100–1,000 particles) before refining them on quantum hardware with noise-aware error mitigation. Benchmarking across fermionic and spin models showed orders-of-magnitude improvements in fidelity and energy estimation, surpassing fixed-connectivity architectures in state preparation. Combined with tunable-range dynamics, the method enables controlled studies of many-body thermalization in out-of-equilibrium regimes accessible to current experimental platforms. This work positions programmable long-range interactions as a key resource for next-generation analog quantum simulators, bridging theoretical models and scalable hardware implementations.
Programming long-range interactions in analog quantum simulators

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Quantum Physics arXiv:2604.22483 (quant-ph) [Submitted on 24 Apr 2026] Title:Programming long-range interactions in analog quantum simulators Authors:Cristian Tabares, Alberto Muñoz de las Heras, Jan T. Schneider, Alejandro González-Tudela View a PDF of the paper titled Programming long-range interactions in analog quantum simulators, by Cristian Tabares and 3 other authors View PDF HTML (experimental) Abstract:Long-range interactions are the source of many equilibrium and out-of-equilibrium quantum many-body phenomena. Analog simulators based on ionic, atomic, superconducting, and molecular systems provide a natural platform to obtain these interactions using vibration- and photon-mediated processes. Recent experimental advances, such as their integration in multi-mode cavities and waveguides, or the use of Raman-assisted transitions, enable dynamical control over both the strength and the spatial range of these interactions, thereby rendering them programmable. Here, we develop a hybrid classical-quantum toolbox that exploits this tunability to enhance many-body state preparation in analog simulators beyond fixed-connectivity architectures. Our approach is based on classical pre-compilation in homogeneous small systems, whose optimized parameters are extrapolated iteratively to larger system sizes, and then refined on the quantum hardware using noise-aware hybrid re-optimization and error-mitigation techniques. We benchmark this strategy across several fermionic, spin-1/2, and spin-1 models, demonstrating orders-of-magnitude improvements in fidelity and energy estimation for system sizes ranging from 100 to 1000 particles. Finally, we show that the combination of such high-fidelity programmable state preparation techniques with tunable-range out-of-equilibrium dynamics enables controlled studies of many-body thermalization in regimes accessible to current experimental platforms. Our results establish programmable long-range interactions as a powerful resource for next-generation analog quantum simulators. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2604.22483 [quant-ph] (or arXiv:2604.22483v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2604.22483 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Cristian Tabares [view email] [v1] Fri, 24 Apr 2026 12:06:38 UTC (4,681 KB) Full-text links: Access Paper: View a PDF of the paper titled Programming long-range interactions in analog quantum simulators, by Cristian Tabares and 3 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-04 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?) 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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quantum-hardware
quantum-simulation

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Source: arXiv Quantum Physics