Pareto-optimal cycles for power, efficiency and fluctuations of quantum heat engines using reinforcement learning

Paolo Andrea Erdman, Alberto Rolandi, Paolo Abiuso +2

The full optimization of a quantum heat engine requires operating at high power, high efficiency, and high stability (i.e. low power fluctuations). However, these three objectives…