Giacomo Cappiello is a Postdoctoral Researcher at Centre for Quantum Mathematics.
Giacomo obtained his PhD in Mathematics from the University of Florence in Italy.
He studied Quantum Machine Learning (QML) theory and applications, focusing on quantum kernel methods and hybrid neural networks.
His main goal was to benchmark quantum algorithms for classification against their classical counterparts, considering real-world scenarios ranging from healthcare to natural language processing.
His work as a Postdoctoral Researcher in Jørgen E. Andersen's team at QM will involve benchmarking of quantum algorithms in a more general context, focusing on applications with a rigorous mathematical approach.
