OSA Advanced Photonics Congress

Advances in Bayesian optimization for photonics and quantum atom optics applications

Philipp‐Immanuel Schneider, Xavier Garcia‐Santiago, Benjamin Wiegand, Oliver Anton, Markus Krutzik, Carsten Rockstuhl, Sven Burger

Published Jan 1, 2021• 1 citation

Publisher

Abstract

Bayesian optimization is an efficient numerical tool. We review approaches to improve its scalability and to handle noisy inputs, and we demonstrate applications in pho- tonics design optimization and in control of quantum experiments.

DOI: 10.1364/iprsn.2021.jth1e.2

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