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quant-ph2022★ 13 cited
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning
Paolo Andrea Erdman, Frank Noé
A quantum thermal machine is an open quantum system that enables the conversion between heat and work at the micro or nano-scale. Optimally controlling such out-of-equilibrium syst…
quant-ph2021★ 112 cited
Identifying optimal cycles in quantum thermal machines with reinforcement-learning
Paolo Andrea Erdman, Frank Noé
The optimal control of open quantum systems is a challenging task but has a key role in improving existing quantum information processing technologies. We introduce a general frame…