A neural network that takes the Wigner function as its input can control the spectrum and shape of supercontinuum light, enabling 12 fs few-cycle pulses and on-demand high-order solitons in experiments.
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Engineering spectro-temporal light states with physics-embedded deep learning
A neural network that takes the Wigner function as its input can control the spectrum and shape of supercontinuum light, enabling 12 fs few-cycle pulses and on-demand high-order solitons in experiments.