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Trapped Ion Quantum Computing
Fast and Coherent Transfer of Atomic Qubits in Optical Tweezers using Fiber Array Architecture
arXiv
Authors: Jia-Chao Wang, Zai-Zheng Zhang, Xiao Li, Guang-Wei Wang, Xiao-Dong He, Min Liu, Peng Xu
Year
2026
Paper ID
45411
Status
Preprint
Abstract Read
~2 min
Abstract Words
186
Citations
N/A
Abstract
Programmable neutral-atom arrays offer a promising route toward scalable quantum computing, where coherent qubit transfer enables non-local connectivity and reduces resource overhead. However, transfer speed and motional heating remain key bottlenecks for fast and deep quantum circuits. Here, we employ a fiber array neutral-atom quantum computing architecture with site-resolved control of trap depths to realize smooth amplitude exchange between static and moving traps, thereby enabling fast and coherent qubit transfer with ultralow motional heating. With a 10 μs in situ transfer between static and moving traps, we obtain a per-cycle heating rate of 0.156(9) μK, sustain over 500 cycles with negligible atom loss, and achieve a quantum state fidelity of 0.99992(5) per cycle. For inter-site transfer between two separated static traps, the operation takes 120 μs with 0.783(17) μK heating per transfer, and remains negligible atom loss for up to 100 repeated cycles with a fidelity of 0.9998(1) per transfer. Furthermore, through experimental studies of parallel transfer, we establish a model that elucidates the relationship between array inhomogeneity and the transfer heating rate. This fast, low-heating coherent transfer capability provides a practical route for improving both speed and fidelity in atom-shuttling based quantum computing.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Programmable neutral-atom arrays offer a promising route toward scalable quantum computing, where coherent qubit transfer enables non-local connectivity and reduces resource...
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