Reinforcement learning in cold atom experiments
M Reinschmidt, J Fortágh, A Günther… - Nature …, 2024 - nature.com
Cold atom traps are at the heart of many quantum applications in science and technology.
The preparation and control of atomic clouds involves complex optimization processes, that …
The preparation and control of atomic clouds involves complex optimization processes, that …
Multi-parameter optimization of polarization gradient cooling for 87Rb atoms based on reinforcement learning
C Liang, S Gao, J Liu, G Wang, S Yan, J Yang, L Zhu… - Optics …, 2024 - opg.optica.org
Polarization gradient cooling (PGC) plays an important role in many cold atom applications
including the formation of Bose-Einstein condensates (BECs) and cooling of single atoms …
including the formation of Bose-Einstein condensates (BECs) and cooling of single atoms …
Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments
O Anton, VA Henderson, E Da Ros… - Machine Learning …, 2024 - iopscience.iop.org
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 …
noisy data in high dimensional parameter spaces. Optimization can be challenging both in …
Creation of a tweezer array for cold atoms utilizing a generative neural network
Optical tweezers have become essential tools for dynamically manipulating objects, ranging
from microspheres or biological molecules to neutral atoms. In this study, we demonstrate …
from microspheres or biological molecules to neutral atoms. In this study, we demonstrate …
Machine-Learning Enhanced Studies of Quantum Many-Body Systems using Experimental and Numerical Data
N Käming - 2024 - ediss.sub.uni-hamburg.de
Machine learning has evolved from a niche topic to a subject that strongly influences all of
our lives in recent years. In addition to paradigm-shifting developments in machine learning …
our lives in recent years. In addition to paradigm-shifting developments in machine learning …
Reinforcement Learning for Optimization and Control of Ultracold Quantum Gas Production
N Milson - 2024 - era.library.ualberta.ca
Reinforcement Learning for Optimization and Control of Ultracold Quantum Gas Production
by Nicholas Milson A thesis submitted Page 1 Reinforcement Learning for Optimization and …
by Nicholas Milson A thesis submitted Page 1 Reinforcement Learning for Optimization and …