Computational Quantum Physicist
I am a Professor in Artificial Intelligence and Condensed Matter Physics @ Ecole Polytechnique, in Paris.
My research investigates Machine-Learning inspired classical and quantum algorithms to tackle hard problems in Quantum Physics. My main contributions are the development of Neural-Network Quantum States for Out-Of-Equilibrium systems and NetKet, the Machine-Learning toolbox for Quantum Science.
Research and Software Projects
NetKetDevelop Software for Researchers.
Neural Quantum States DynamicsDevelop Software for Researchers.
Teaching: VMC and NQSEducational materials on Machine Learning applications in Variational Monte Carlo for quantum simulations.