AI-Enabled Parallel Assembly of Thousands of Defect-Free Neutral Atom Arrays

作者：Rui Lin, Han-Sen Zhong, Li You, Zhang-Rui Zhao, Le-Tian Zheng, T. Hu, Hongming Wu, Zhan Wu, Weijie Ma, Yan Gao, Yi-Kang Zhu, Zhao-Feng Su, Wanli Ouyang, Yuchen Zhang, Jun Rui, Ming-Cheng Chen, Chao‐Yang Lu, Jian-Wei Pan · 发表于：Physical Review Letters · 年份：2025 · DOI：10.1103/2ym8-vs82 · 被引用次数：25 · 研究领域：Machine Learning in Materials Science、Advanced Memory and Neural Computing、Electronic and Structural Properties of Oxides

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.