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...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-10-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-023-01408-5 |