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quant-ph2024
Learning symmetry-protected topological order from trapped-ion experiments
Nicolas Sadoune, Ivan Pogorelov, Claire L. Edmunds +6
Classical machine learning has proven remarkably useful in post-processing quantum data, yet typical learning algorithms often require prior training to be effective. In this work,…
cond-mat.quant-gas2024★ 8 cited
Supersolidity in Rydberg tweezer arrays
Lukas Homeier, Simon Hollerith, Sebastian Geier +3
Rydberg tweezer arrays provide a versatile platform to explore quantum magnets with dipolar XY or van-der-Waals Ising ZZ interactions. Here, we propose a scheme combining dipolar a…