Giacomo Torlai, Ph.D.

Flatiron Research Fellow, CCQ, Flatiron Institute

Giacomo Torlai joined the Center for Computational Quantum Physics at the Flatiron Institute in October 2018. His research at CCQ focuses on the application of modern machine learning techniques to tackle problems in quantum many-body physics, ranging from strongly-correlated condensed matter systems to the current generation of quantum hardware and simulators.

Education

Ph.D. Physics, University of Waterloo

M.Sc. Physics, Ludwig Maximilian University Munich

B.Sc. Physics, University of Florence

Selected Publications

”Neural-network quantum state tomography”
G Torlai, G Mazzola, J Carrasquilla, M Troyer, RG Melko and G Carleo
Nature Physics 14 (5), 447 (2018)

”Latent space purification via neural density operators”
G Torlai and RG Melko
Physical Review Letters 120 (24), 240503 (2018)

”Neural decoder for topological codes”
G Torlai and RG Melko
Physical Review Letters 119 (3), 030501 (2017)

”Learning thermodynamics with Boltzmann machines”
G Torlai and RG Melko
Physical Review B 94 (16), 165134 (2016)

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