160 citations · 732 across the 16 of their papers we have counts for
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physics.atom-ph2022★ 36 cited
Machine-learning-accelerated Bose-Einstein condensation
Zachary Vendeiro, Joshua Ramette, Alyssa Rudelis +5
Machine learning is emerging as a technology that can enhance physics experiment execution and data analysis. Here, we apply machine learning to accelerate the production of a Bose…
quant-ph2022★ 7 cited
Asymmetric comb waveguide for strong interactions between atoms and light
Nikos Fayard, Adrien Bouscal, Jeremy Berroir +9
Coupling quantum emitters and nanostructures, in particular cold atoms and waveguides, has recently raised a large interest due to unprecedented possibilities of engineering light-…