Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > SPPCom > 2021 > JTh1E > JTh1E.2

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, and Sven Burger

Not Accessible

Your library or personal account may give you access

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.

© 2021 The Author(s)

PDF Article
More Like This
Bayesian quantum phase estimation on an integrated Silicon photonic device

S. Paesani, A. A. Gentile, R. Santagati, J. Wang, N. Wiebe, S. Miki, T. Yamashita, H. Terai, M. Fujiwara, M. Sasaki, M. G. Tanner, C. M. Natarajan, R. H. Hadfield, D. Tew, J.L. O’Brien, and M. G. Thompson
FTu3G.5 Frontiers in Optics (FiO) 2016

BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration

Zhizhen Zhong, Manya Ghobadi, Maximilian Balandat, Sanjeevkumar Katti, Abbas Kazerouni, Jonathan Leach, Mark McKillop, and Ying Zhang
F3B.1 Optical Fiber Communication Conference (OFC) 2021

Optimally squeezed atomic states for quantum metrology

Sebastián C. Carrasco, Michael H. Goerz, Vladan Vuletić, and Vladimir S. Malinovsky
Th3A.3 Quantum Information and Measurement (QIM) 2021

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use