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Artificial intelligence discovery of a new charging protocol in a micromaser quantum battery

MPS-Authors
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Rodríguez Mangues,  Carla
Krenn Research Group, Marquardt Division, Max Planck Institute for the Science of Light, Max Planck Society;

/persons/resource/persons289529

Ollé,  Jan
Marquardt Division, Max Planck Institute for the Science of Light, Max Planck Society;

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PhysRevA.108.042618.pdf
(Publisher version), 2MB

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Bildschirmfoto 2023-01-24 um 11.31.50.png
(Supplementary material), 35KB

Citation

Rodríguez Mangues, C., Rosa, D., & Ollé, J. (2023). Artificial intelligence discovery of a new charging protocol in a micromaser quantum battery. Physical Review A, 108(042618).


Cite as: https://hdl.handle.net/21.11116/0000-000C-734D-D
Abstract
We propose a gradient-based general computational framework for optimizing model-dependent parameters in quantum batteries (QB). We apply this method to two different charging scenarios in the micromaser QB and we discover a charging protocol for stabilizing the battery in upper-laying Hilbert space chambers in a controlled and automatic way. This protocol is found to be stable and robust, and it leads to an improved charging efficiency in micromaser QBs. Moreover, our optimization framework is highly versatile and efficient, holding great promise for the advancement of QB technologies at all scales.