A U-Net-based ML pipeline reconstructs the complete phase field and quantized vortex charges in 2D Bose-Einstein condensates from density snapshots alone, using synthetic training data from projected Gross-Pitaevskii simulations.
The harmonic trap frequency isω= 200πHz, and the number of particles in the coherent region is fixed to Nc = 1.5×10 4
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Machine Learning Phase Field Reconstruction in a Bose-Einstein Condensate
A U-Net-based ML pipeline reconstructs the complete phase field and quantized vortex charges in 2D Bose-Einstein condensates from density snapshots alone, using synthetic training data from projected Gross-Pitaevskii simulations.