Roberto Bondesan

Roberto Bondesan is an Associate Professor in Quantum Computing at Imperial College London, Department of Computer Science. His research focuses on quantum algorithms, quantum error correction, and machine learning. He is affiliated with the university and can be contacted via email at r.bondesan@imperial.ac.uk. His professional profile is available at https://profiles.imperial.ac.uk/r.bondesan.

Roberto Bondesan is a researcher at Imperial College London with expertise in Quantum Computing and Machine learning. His work explores the intersection of these fields, focusing on quantum field theories, neural networks, and computational methods. Bondesan's research includes developing machine learning techniques for quantum systems, such as equivariant continuous flows for lattice quantum field theories and neural simulated annealing. He also investigates quantum phases and topological properties in systems like SU(N) spin models and Z_N parafermions. His contributions span both theoretical and applied aspects, emphasizing the use of probabilistic and Bayesian methods in quantum and classical systems.