BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Memento EPFL// BEGIN:VEVENT SUMMARY:CIS - "Get to know your neighbors" Seminar series - Prof. Giuseppe Carleo DTSTART:20210111T151500 DTEND:20210111T161500 DTSTAMP:20260429T152654Z UID:304b2acf3f4f44036780452f30e551c7a033102af859acd1cb159f49 CATEGORIES:Conferences - Seminars DESCRIPTION:Prof. Giuseppe Carleo\n \nTitle: Machine learning in quantum science and quantum computing   \n\nAbstract: Machine-learning-based app roaches\, routinely adopted in cutting-edge industrial applications\, are being increasingly embraced to study fundamental problems in science. Quan tum physics is very much at the forefront of these exciting developments\, given its intrinsic "big-data" nature. In this seminar I will present th e core concepts and the main challenges arising in the field. \nFirst\, I will recall the concept of quantum wave function\, and why its theoretica l description poses a fundamental challenge in the understanding of many n atural phenomena. \nI will then discuss the role of machine learning meth ods\, and introduce the notion of neural-network quantum states\, a novel tool to address the complexity of the wave function. \nApplications and o pen challenges in diverse domains will be presented\, ranging from Condens ed Matter physics to Quantum Computing. Focusing on the latter case\, I wi ll show that there are relevant cases in which machine learning techniques can be used to classically simulate useful quantum algorithms\, and I wi ll discuss their role in assessing the so-called “quantum supremacy” l imits of quantum computers. \n\nBio: Giuseppe Carleo is a computational q uantum physicist\, whose main focus is the development of advanced numeric al algorithms to study challenging problems involving strongly interacting quantum systems.\nHe is best known for having shaped the field of machine learning methods for many-body quantum phenomena\, with the introduction of neural-network representations of quantum states in 2016. \nHe earned a Ph.D. in Condensed Matter Theory from the International School for Adva nced Studies (SISSA) in Italy in 2011.\nHe held postdoctoral positions at the Institut d’Optique in France and ETH Zurich in Switzerland\, whe re he also served as a lecturer in computational quantum physics.\nFrom 2 018 to 2020\, he was a staff Research Scientist and project leader at the  Flatiron Institute in New York City\, at the Center for Computational Q uantum Physics (CCQ)\, where he also led the development of the open-sour ce project NetKet.\nHe has recently joined EPFL as an assistant professor \, leading a research group focused on computational quantum science.\n\nT he Center for Intelligent Systems at EPFL (CIS) is a collaboration among IC\, SB\, STI and ENAC that brings together researchers working on diffe rent aspects of Intelligent Systems.\n \nIn order to promote exchanges am ong researchers and encourage the creation of new\, collaborative projects \, CIS is organizing a "Get to know your neighbors" series. Each seminar w ill consist of one short overview presentation geared to the general publi c at EPFL.\n \nThe CIS seminar will take place live on Zoom: https://epfl .zoom.us/j/81345186697\n\n \nMonday\, 11th January 2021 from 3:15 to 4:15 pm\n\n\nNB: Video recordings of the seminars will be made available on ou r website and published on our social media pages LOCATION:Zoom https://epfl.zoom.us/j/81345186697 https://epfl.zoom.us/j/81 345186697 STATUS:CONFIRMED END:VEVENT END:VCALENDAR