Single-atom exploration of optimized nonequilibrium quantum thermodynamics by reinforcement learning

Single-atom exploration of optimized nonequilibrium quantum thermodynamics by reinforcement learning

Abstract Exploring optimized processes of thermodynamics at microscale is vital to exploitation of quantum advantages relevant to microscopic machines and quantum information processing. Here, we experimentally execute a reinforcement learning strategy, using a single trapped 40Ca+ ion, for engineer...

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Bibliographic Details
Main Authors: Jiawei Zhang, Jiachong Li, Qing-Shou Tan, Jintao Bu, Wenfei Yuan, Bin Wang, Geyi Ding, Wenqiang Ding, Liang Chen, Leilei Yan, Shilei Su, Taiping Xiong, Fei Zhou, Mang Feng
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-023-01408-5

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