Giuseppe Carleo joined the Flatiron Institute in 2018 at the Center for Computational Quantum Physics (CCQ). He earned a B.S. in physics from the Sapienza University of Rome in 2007 and a Ph.D. in condensed matter theory from the International School for Advanced Studies in Italy in 2011. He held postdoctoral positions at the Institut d’Optique in France and ETH Zurich in Switzerland. He was also a lecturer in computational quantum physics at ETH Zurich.
Carleo’s main focus is the development of advanced numerical algorithms to study challenging problems involving strongly interacting quantum systems. Applications of his research cover condensed matter, ultracold atoms and quantum computing. He has contributed to the development of novel quantum Monte Carlo approaches to both equilibrium and dynamical properties, including the time-dependent variational Monte Carlo and neural-network quantum states. At CCQ, he is developing and promoting new techniques based on artificial intelligence to solve quantum problems. He is the creator and developer lead of the open-source project NetKet .
G. Carleo and M. Troyer, “Solving the quantum many-body problem with artificial neural networks”, Science 355, 602 (2017)
G. Torlai, G. Mazzola, J. Carrasquilla, M. Troyer, R. Melko, G. Carleo, “Neural-network quantum-state tomography”, Nature Physics 14, 447 (2018)
G. Carleo, L. Cevolani, L. Sanchez-Palencia, M. Holzmann, “Unitary dynamics of strongly interacting Bose gases with the time-dependent variational Monte Carlo method”, Physical Review X 7, 031026 (2017)
G. Carleo, F. Becca, M. Schirò, M. Fabrizio, “Localization and glassy dynamics of many-body quantum systems”, Scientific Reports 2, 243 (2012)