8 citations · 11 across the 5 of their papers we have counts for
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cond-mat.quant-gas2022★ 8 cited
Optimizing optical potentials with physics-inspired learning algorithms
Martino Calzavara, Yevhenii Kuriatnikov, Andreas Deutschmann-Olek +6
We present our new experimental and theoretical framework which combines a broadband superluminescent diode (SLED/SLD) with fast learning algorithms to provide speed and accuracy i…
eess.SY2022
Iterative shaping of optical potentials for one-dimensional Bose-Einstein condensates
Andreas Deutschmann-Olek, Mohammadamin Tajik, Martino Calzavara +3
The ability to manipulate clouds of ultra-cold atoms is crucial for modern experiments on quantum manybody systems and quantum thermodynamics as well as future metrological applica…