Dark-state enhanced loading of an optical tweezer array
Adam L. Shaw, Pascal Scholl, Ran Finklestein, Ivaylo S. Madjarov,, Brandon Grinkemeyer, and Manuel Endres

TL;DR
This paper introduces a species-agnostic dark-state enhanced loading method for optical tweezer arrays, significantly increasing loading efficiency and array size, which advances quantum simulation and computation capabilities.
Contribution
The authors develop a novel dark-state enhanced loading protocol using real-time feedback and shelving states, achieving higher loading probabilities and larger arrays.
Findings
Achieved 84.02% loading probability in a 95-tweezer array.
Demonstrated maximum array size of 91 atoms in one dimension.
Protocol is compatible with existing light-assisted collision schemes.
Abstract
Neutral atoms and molecules trapped in optical tweezers have become a prevalent resource for quantum simulation, computation, and metrology. However, the maximum achievable system sizes of such arrays are often limited by the stochastic nature of loading into optical tweezers, with a typical loading probability of only 50%. Here we present a species-agnostic method for dark-state enhanced loading (DSEL) based on real-time feedback, long-lived shelving states, and iterated array reloading. We demonstrate this technique with a 95-tweezer array of Sr atoms, achieving a maximum loading probability of 84.02(4)% and a maximum array size of 91 atoms in one dimension. Our protocol is complementary to, and compatible with, existing schemes for enhanced loading based on direct control over light-assisted collisions, and we predict it can enable close-to-unity filling for arrays of atoms or…
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Taxonomy
TopicsCold Atom Physics and Bose-Einstein Condensates · Spectroscopy and Laser Applications · Quantum Information and Cryptography
