3 papers
quant-ph2024
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…
eess.SP2024
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…
physics.atom-ph2023
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…