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Iterative assembly of $^{171}$Yb atom arrays with cavity-enhanced optical lattices

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arxiv 2401.16177 v3 pith:NNEPLBEE submitted 2024-01-29 quant-ph physics.atom-ph

classification quant-phphysics.atom-ph
keywords atomsopticalarrayscavity-enhancedfilledlatticesprotocolquantum
verification ladder T0 review T1 audit T2 compute T3 formal
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Assembling and maintaining large arrays of individually addressable atoms is a key requirement for continued scaling of neutral-atom-based quantum computers and simulators. In this work, we demonstrate a new paradigm for assembly of atomic arrays, based on a synergistic combination of optical tweezers and cavity-enhanced optical lattices, and the incremental filling of a target array from a repetitively filled reservoir. In this protocol, the tweezers provide microscopic rearrangement of atoms, while the cavity-enhanced lattices enable the creation of large numbers of optical traps with sufficient depth for rapid low-loss imaging of atoms. We apply this protocol to demonstrate near-deterministic filling (99% per-site occupancy) of 1225-site arrays of optical traps. Because the reservoir is repeatedly filled with fresh atoms, the array can be maintained in a filled state indefinitely. We anticipate that this protocol will be compatible with mid-circuit reloading of atoms into a quantum processor, which will be a key capability for running large-scale error-corrected quantum computations whose durations exceed the lifetime of a single atom in the system.

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Cited by 2 Pith papers

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

  1. Expanding the Neutral Atom Gate Set: Native iSWAP and Exchange Gates from Dipolar Rydberg Interactions

    quant-ph 2025-12 conditional novelty 6.0 of 10

    Optimal-control pulse sequences realize native iSWAP and exchange gates via resonant Rydberg dipole-dipole exchange, with simulated 99.9% fidelity under noise.

  2. Programmable few-atom Bragg scattering and ground-state cooling in a cavity

    quant-ph 2025-08 unverdicted novelty 6.0 of 10

    EgoCross, a cross-domain egocentric QA benchmark, shows current multimodal LLMs drop sharply when videos come from surgery, industry, extreme sports, or animal perspectives.

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