New Paper! Machine Learning a Useful Tool for Quantum Control, Finds New Study

Media release by OIST: https://www.oist.jp/news-center/press-releases/machine-learning-useful-tool-quantum-control-finds-new-study, Phys.org: https://phys.org/news/2021-11-machine-tool-quantum.html

Research paper: 
Title: Measurement-Based Feedback Quantum Control With Deep Reinforcement Learning for a Double-well Nonlinear Potential
Journal: Physical Review Letters
Authors: Sangkha Borah, Bijita Sarma, Michael Kewming, Gerard J. Milburn, and Jason Twamley
Affiliations: Quantum Machines Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan and the ARC Centre of Excellence for Engineered Quantum Systems, School of Mathematics and Physics, University of Queensland, Brisbane, Australia
DOI: 10.1103/PhysRevLett.127.190403
Date: 2021.11.02