Improving the dynamics of quantum sensors with reinforcement learning

Recently proposed quantum-chaotic sensors achieve quantum enhancements in measurement precision by applying nonlinear control pulses to the dynamics of the quantum sensor while using classical initial states that are easy to prepare. Here, we use the cross-entropy method of reinforcement learning (R...

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Bibliographic Details

Published in:	New Journal of Physics
Main Authors:	Jonas Schuff, Lukas J Fiderer, Daniel Braun
Format:	Article
Language:	English
Published:	IOP Publishing 2020-01-01
Subjects:	quantum metrology machine learning reinforcement learning quantum-chaotic sensors control theory spin squeezing
Online Access:	https://doi.org/10.1088/1367-2630/ab6f1f