Predicting electromagnetically induced transparency based cold atomic engines using deep learning
We develop an artificial neural network model to predict quantum heat engines working within the experimentally realized framework of electromagnetically induced transparency. We specifically focus on Λ-type alkali-based cold atomic systems. This network allows us to analyze the performance of all t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-06-01
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| Series: | APL Quantum |
| Online Access: | http://dx.doi.org/10.1063/5.0255830 |
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