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Encoding computationally hard problems in triangular Rydberg atom arrays

Xi-Wei Pan, Huan-Hai Zhou, Yi-Ming Lu, Jin-Guo Liu
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⚡ Quantum Brief
Researchers from China’s quantum physics community introduced a novel encoding method for computationally hard problems using triangular Rydberg atom arrays, significantly improving upon prior approaches. The team’s automated gadget search strategy enables universal encoding of complex problems onto triangular lattices, addressing limitations of King’s subgraphs—previously the standard but inefficient in 2D systems. Numerical simulations show the new method reduces independence-constraint violations by 100x compared to King’s subgraphs, minimizing reliance on post-processing and enhancing experimental feasibility. The advance leverages Rydberg atoms’ power-law interaction decay, which previously degraded unit-disk graph approximations, now mitigated through optimized lattice geometry. Published in October 2025, the work bridges quantum optimization and atomic physics, offering a scalable framework for real-world quantum computing applications.
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Quantum Physics arXiv:2510.25249 (quant-ph) [Submitted on 29 Oct 2025] Title:Encoding computationally hard problems in triangular Rydberg atom arrays Authors:Xi-Wei Pan, Huan-Hai Zhou, Yi-Ming Lu, Jin-Guo Liu View a PDF of the paper titled Encoding computationally hard problems in triangular Rydberg atom arrays, by Xi-Wei Pan and 3 other authors View PDF HTML (experimental) Abstract:Rydberg atom arrays are a promising platform for quantum optimization, encoding computationally hard problems by reducing them to independent set problems with unit-disk graph topology. In Nguyen et al., PRX Quantum 4, 010316 (2023), a systematic and efficient strategy was introduced to encode multiple problems into a special unit-disk graph: the King's subgraph. However, King's subgraphs are not the optimal choice in two dimensions. Due to the power-law decay of Rydberg interaction strengths, the approximation to unit-disk graphs in real devices is poor, necessitating post-processing that lacks physical interpretability. In this work, we develop an encoding scheme that can universally encode computationally hard problems on triangular lattices, based on our innovative automated gadget search strategy. Numerical simulations demonstrate that quantum optimization on triangular lattices reduces independence-constraint violations by approximately two orders of magnitude compared to King's subgraphs, substantially alleviating the need for post-processing in experiments. Subjects: Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn); Quantum Gases (cond-mat.quant-gas); Atomic Physics (physics.atom-ph) Cite as: arXiv:2510.25249 [quant-ph] (or arXiv:2510.25249v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2510.25249 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Xiwei Pan [view email] [v1] Wed, 29 Oct 2025 07:56:14 UTC (260 KB) Full-text links: Access Paper: View a PDF of the paper titled Encoding computationally hard problems in triangular Rydberg atom arrays, by Xi-Wei Pan and 3 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-10 Change to browse by: cond-mat cond-mat.dis-nn cond-mat.quant-gas physics physics.atom-ph 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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