629 citations · 1.7k across the 20 of their papers we have counts for
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Bilinear dynamic mode decomposition for quantum control
Andy Goldschmidt, Eurika Kaiser, Jonathan L. Dubois +2
Data-driven methods for establishing quantum optimal control (QOC) using time-dependent control pulses tailored to specific quantum dynamical systems and desired control objectives…
Deep reinforcement learning for optical systems: A case study of mode-locked lasers
Chang Sun, Eurika Kaiser, Steven L. Brunton +1
We demonstrate that deep reinforcement learning (deep RL) provides a highly effective strategy for the control and self-tuning of optical systems. Deep RL integrates the two leadin…
Principal component trajectories for modeling spectrally-continuous dynamics as forced linear systems
Daniel Dylewsky, Eurika Kaiser, Steven L. Brunton +1
Delay embeddings of time series data have emerged as a promising coordinate basis for data-driven estimation of the Koopman operator, which seeks a linear representation for observ…