Abstract
A proposed machine-learning-based method demonstrates how artificial controllers can be used to discover nonintuitive, intelligent pulse sequences that can cool a mechanical object from a high temperature to the quantum regime at ultracold temperatures faster than other standard methods, showing the utility of artificial machine intelligence in the development of quantum technologies.
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