
PELLINI RICCARDO
PHD Student in Information Technology
- Campus:Building 21
- Floor:3°
- Office:020
• ML methods for quantum state preparation: benchmarking of ML-based algorithms and synthesis of quantum circuits for quantum state preparation, which is essential for practical applications of quantum computing.
• Representation Learning of quantum circuits: using GNNs to model and extract meaningful representations from quantum circuit structures, to have a deeper understanding of complex quantum systems.