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AI-Enabled Rapid Assembly of Thousands of Defect-Free Neutral Atom Arrays with Constant-time-overhead

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arxiv 2412.14647 v1 pith:C2PV57AA submitted 2024-12-19 quant-ph physics.atom-phphysics.optics

Rui Lin , Han-Sen Zhong , You Li , Zhang-Rui Zhao , Le-Tian Zheng , Tai-Ran Hu , Hong-Ming Wu , Zhan Wu
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Wei-Jie Ma Yan Gao Yi-Kang Zhu Zhao-Feng Su Wan-Li Ouyang Yu-Chen Zhang Jun Rui Ming-Cheng Chen Chao-Yang Lu Jian-Wei Pan
This is my paper · ORCID
classification quant-phphysics.atom-phphysics.optics
keywords arraysatomatomsdefect-freequantumai-enabledconstant-time-overheadprotocol
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Assembling increasingly larger-scale defect-free optical tweezer-trapped atom arrays is essential for quantum computation and quantum simulations based on atoms. Here, we propose an AI-enabled, rapid, constant-time-overhead rearrangement protocol, and we experimentally assemble defect-free 2D and 3D atom arrays with up to 2024 atoms with a constant time cost of 60 ms. The AI model calculates the holograms for real-time atom rearrangement. With precise controls over both position and phase, a high-speed spatial light modulator moves all the atoms simultaneously. This protocol can be readily used to generate defect-free arrays of tens of thousands of atoms with current technologies, and become a useful toolbox for quantum error correction.

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Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Blinking optical tweezers for atom rearrangements

    quant-ph 2025-02 conditional novelty 6.0 of 10

    A time-multiplexed "blinking" optical tweezer can trap and transport multiple atoms with one beam, demonstrated for arrays up to M=9.

  2. Statistical analysis of multivariate planar curves and applications to X-ray classification

    stat.ME 2025-08 unverdicted novelty 5.0 of 10

    Introduces multivariate planar curve analysis with a solved alignment problem, then classifies segmented X-rays for cardiomegaly via tangent projections and functional classifiers.

  3. Awesome Quantum Computing Experiments: Benchmarking Experimental Progress Towards Fault-Tolerant Quantum Computation

    quant-ph 2025-07 conditional novelty 4.0 of 10

    Experimental quantum hardware metrics follow exponential trends with reported doubling or halving times of about one to six years across platforms.

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