Machine learning: a paradigm shift in the simulation of quantum phenomena
|Hour||16:05 › 16:50|
|Speaker||Prof. Giuseppe Carleo, Computational Quantum Science Laboratory - CQSL|
|Category||Inaugural lectures - Honorary Lecture|
15h15 Inaugural lecture Prof. Zoë Holmes
16h05 Inaugural lecture Prof. Giuseppe Carleo
Machine-learning-based approaches, routinely adopted in cutting-edge industrial applications, are being increasingly applied to study fundamental problems in science. Many-body physics is at the forefront of these exciting developments, given its intrinsic "big-data" nature. I will present selected applications to the quantum realm, from nuclear to condensed matter, showing how these approaches are quickly expanding the domain of the problems that can be accurately explored with numerical simulations.
Giuseppe Carleo is a computational quantum physicist. He earned a Ph.D. from the International School for Advanced Studies (SISSA) in Italy in 2011. He held postdoctoral positions at the Institut d’Optique in France and ETH Zurich. In 2018, he joined the Flatiron Institute in New York City as a Research Scientist and Project Leader. Since September 2020 he is an assistant professor at EPFL, leading the Computational Quantum Science Laboratory (CQSL).
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- Institut de Physique