Neural networks learn the score of the probability density on Bohmian trajectories to recover exact Schrödinger dynamics via self-consistent minimization for nodeless wave functions, demonstrated on double-well splitting and Morse chain vibrations.
Madelung, Quantentheorie in hydrodynamischer Form, Zeitschrift f¨ ur Physik40, 322 (1927)
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Syncopated Bessel beams are a new family of exact paraxial solutions generated by sinusoidal azimuthal phase modulation at the source, producing off-axis deflection and symmetry shift while retaining self-scaling invariance.
citing papers explorer
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Quantum Dynamics via Score Matching on Bohmian Trajectories
Neural networks learn the score of the probability density on Bohmian trajectories to recover exact Schrödinger dynamics via self-consistent minimization for nodeless wave functions, demonstrated on double-well splitting and Morse chain vibrations.
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Syncopated Bessel beams
Syncopated Bessel beams are a new family of exact paraxial solutions generated by sinusoidal azimuthal phase modulation at the source, producing off-axis deflection and symmetry shift while retaining self-scaling invariance.