I graduated in Physics at the University of Palermo in 2019 and pursued my PhD in Belfast under the supervision of Prof. Mauro Paternostro. My PhD focussed on the application of Machine Learning based techniques, in particular Reinforcement Learning, for optimal control and design of quantum systems. I am currently interested in Machine Learning, Quantum Control, Thermodynamics of Quantum Systems and the overlap between them. My work in Palermo focusses on Quantum Reservoir Computing, with particular interest in the energy cost of computation and characterization of the dynamics of the systems of interest.
Research
Research lines of Sofia Sgroi's papers on this site
Interests
- Machine Learning for Quantum Processes
- Control of Quantum Sistems Dynamics
- Thermodynamics of Quantum Systems
Education
- 2024PhD in Theoretical Physics
Queen's University Belfast - 2019Master degree in Physics
University of Palermo
Publications 5
Search and filter2025
- Speeding up thermalization and quantum state preparation through engineered quantum collisionsPreprint Preprint, arXiv:2506.20625 (2025)
2024
- A Reinforcement Learning Approach to the Design of Quantum Chains for Optimal Energy TransferPreprint Preprint, arXiv:2402.07561 (2024)
2022
- Efficient Excitation-Transfer across Fully Connected Networks via Local-Energy OptimizationPreprint Preprint, arXiv:2211.09079 (2022)
- A Tutorial on Optimal Control and Reinforcement Learning Methods for Quantum TechnologiesPhysics Letters A 434, 128054 (2022)
- Modeling Mechanical Equilibration Processes of Closed Quantum Systems: A Case StudyPhysical Review E 105, 014127 (2022)