62 citations · 63 across the 2 of their papers we have counts for
3 papers
quant-ph2021★ 62 cited
A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies
Luigi Giannelli, Sofia Sgroi, Jonathon Brown +4
Quantum Optimal Control is an established field of research which is necessary for the development of Quantum Technologies. In recent years, Machine Learning techniques have been p…
quant-ph2021★ 1 cited
Modelling mechanical equilibration processes of closed quantum systems: a case-study
Sofia Sgroi, Mauro Paternostro
We model the dynamics of a closed quantum system brought out of mechanical equilibrium, undergoing a non-driven, spontaneous, thermodynamic transformation. In particular, we consid…
quant-ph2020
Reinforcement learning approach to non-equilibrium quantum thermodynamics
Sofia Sgroi, G. Massimo Palma, Mauro Paternostro
We use a reinforcement learning approach to reduce entropy production in a closed quantum system brought out of equilibrium. Our strategy makes use of an external control Hamiltoni…