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Square-root Time Atom Reconfiguration Plan for Lattice-shaped Mobile Tweezers

arXiv Quantum Physics
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⚡ Quantum Brief
Japanese researchers proposed a breakthrough algorithm for defect-free neutral-atom arrays, cutting reconfiguration time to √N for N atoms via parallelized transport in 2D lattices using acousto-optic deflectors. The method employs a divide-and-conquer strategy, breaking complex reconfigurations into three 1D shuttling tasks, achieving √N transportation cost per atom while ensuring scalability for large arrays. Leveraging the Gale–Ryser theorem, the algorithm guarantees reliable solutions for arbitrary target geometries, addressing a key challenge in neutral-atom quantum computing hardware. A "peephole optimization" technique further boosts efficiency for grid layouts, demonstrated in simulations of a 632×632 array, slashing transport costs to 1/7th of current methods. Tests showed 32–35% higher atom capture rates, directly advancing large-scale neutral-atom quantum computer development, with open-source code available for implementation.
Square-root Time Atom Reconfiguration Plan for Lattice-shaped Mobile Tweezers

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Quantum Physics arXiv:2604.05317 (quant-ph) [Submitted on 7 Apr 2026] Title:Square-root Time Atom Reconfiguration Plan for Lattice-shaped Mobile Tweezers Authors:Koki Aoyama, Takafumi Tomita, Fumihiko Ino View a PDF of the paper titled Square-root Time Atom Reconfiguration Plan for Lattice-shaped Mobile Tweezers, by Koki Aoyama and 2 other authors View PDF HTML (experimental) Abstract:This paper proposes a scalable planning algorithm for creating defect-free atom arrays in neutral-atom systems. The algorithm generates a $\mathcal{O}(\sqrt N)$ time plan for $N$ atoms by parallelizing atom transport using a two-dimensional lattice pattern generated by acousto-optic deflectors. Our approach is based on a divide-and-conquer strategy that decomposes an arbitrary reconfiguration problem into at most three one-dimensional shuttling tasks, enabling each atom to be transported with a total transportation cost of $\mathcal{O}(\sqrt N)$. Using the Gale--Ryser theorem, the proposed algorithm provides a highly reliable solution for arbitrary target geometries. We further introduce a peephole optimization technique that improves reconfiguration efficiency for grid target geometries. Numerical simulations on a 632$\times$632 atom array demonstrate that the proposed algorithm achieves a grid configuration plan that reduces the total transportation cost to 1/7 of state-of-the-art algorithms, while resulting in 32%--35% more atom captures. We believe that our scalability improvement contributes to realizing large-scale quantum computers based on neutral atoms. Our experimental code is available from this https URL. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2604.05317 [quant-ph] (or arXiv:2604.05317v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2604.05317 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Koki Aoyama [view email] [v1] Tue, 7 Apr 2026 01:37:27 UTC (1,777 KB) Full-text links: Access Paper: View a PDF of the paper titled Square-root Time Atom Reconfiguration Plan for Lattice-shaped Mobile Tweezers, by Koki Aoyama and 2 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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Source: arXiv Quantum Physics