Activities
Gian Marcello Andolina
The Institute of Photonic Sciences, Spain
9 February 2023 Thu 5 pm
IBS Center for Theoretical Physics of Complex Systems (PCS), Administrative Office (B349), Theory Wing, 3rd floor
Expo-ro 55, Yuseong-gu, Daejeon, South Korea, 34126 Tel: +82-42-878-8633
Quantum batteries are energy-storing devices, governed by quantum mechanics, that promise high charging performance thanks to collective effects. Due to its experimental feasibility, the Dicke battery - which comprises N two-level systems coupled to a common photon mode - is one of the most promising designs for quantum batteries. In this talk, I will show how reinforcement learning can be used to optimize the charging process of a Dicke battery, showing that both the extractable energy (ergotropy) and quantum mechanical energy fluctuations (charging precision) can be greatly improved with respect to standard charging strategies.
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reinforcement learning optimization of the charging of a dicke quantum battery