6 citations · 13 across the 3 of their papers we have counts for
3 papers
Bayesian optimization for state engineering of quantum gases
Gabriel Müller, V. J. Martínez-Lahuerta, Ivan Sekulic +3
State engineering of quantum objects is a central requirement in most implementations. In the cases where the quantum dynamics can be described by analytical solutions or simple ap…
Fabrication uncertainty guided design optimization of a photonic crystal cavity by using Gaussian processes
Matthias Plock, Felix Binkowski, Lin Zschiedrich +2
We present a fabrication uncertainty aware and robust design optimization approach that can be used to obtain robust design estimates for nonlinear, nonconvex, and expensive model…
Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments
Oliver Anton, Victoria A. Henderson, Elisa Da Ros +4
The generation of cold atom clouds is a complex process which involves the optimization of noisy data in high dimensional parameter spaces. Optimization can be challenging both in…