Letao Wang is a PhD student in Quantum Machine Learning at the Laboratory of Signals and Systems (L2S), CentraleSupélec, Paris-Saclay University, with a doctoral speciality in Mathematical Computer Science. He completed his Master’s studies in Theoretical Computer Science and Quantum Physics at École Normale Supérieure Paris-Saclay (ENS Paris-Saclay), and his Bachelor’s degree in Computer Science at Université Paris Cité (formerly Université Paris-Descartes).
His research interests include:
- Quantum physics-informed neural networks (QPINNs)
- Variational quantum algorithms for solving financial PDEs
- Financial mathematics
