Simulating Quantum World with Data-Free, Physics-Driven Machine Learning

The Simons Foundation’s mission is to advance the frontiers of research in mathematics and the basic sciences.

Simons Foundation

Registration for this lecture will close at 2 p.m. the day of the event. Review the complete list of entrance requirements below.

<h2>This lecture is part of the Machine Learning in the Natural Sciences Presidential Lecture Series in Mathematics and Computer Science.</h2>

The behavior of electrons is chiefly responsible for the properties of materials and molecules. Predicting the behavior of many interacting electrons poses a significant scientific challenge and has led to the development of many methods of tackling problems in quantum many-body physics.In this lecture, Giuseppe Carleo will focus on simulation-driven machine learning techniques. He'll explore how artificial neural networks can represent quantum states, offering a powerful alternative to traditional variational methods. The talk will introduce how these approaches systematically and controllably learn many-body wave functions without relying on pre-existing data. He'll examine applications in diverse domains, including condensed matter, chemistry and nuclear physics. Special attention will be given to how neural network representations have advanced our ability to simulate prototypical many-body quantum systems, surpassing previous variational descriptions.

<a href="https://people.epfl.ch/giuseppe.carleo?lang=en" title="https://people.epfl.ch/giuseppe.carleo?lang=en" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Carleo</a> is a professor of physics at the Swiss Federal Institute of Technology Lausanne (EPFL), where he leads the Computational Quantum Science Laboratory. He earned his Ph.D. from the International School for Advanced Studies (SISSA) in Italy in 2011 and held postdoctoral positions at the Institut d'Optique in France and ETH Zurich in Switzerland. From 2018 to 2020, he was a research scientist at the Flatiron Institute's Center for Computational Quantum Physics in New York City. Carleo's expertise is in developing advanced numerical algorithms for studying strongly interacting quantum systems. He pioneered the application of machine learning techniques to quantum physics, introducing neural network representations of quantum states. Carleo is also known for developing the time-dependent variational Monte Carlo method and leading the open-source project NetKet.

REGISTRATION REQUIREMENTS<ul><li>You must be 18+ to attend this event</li><li>Registration will close at 2:00 p.m. the day of the event</li><li>Please only register yourself and use your complete first and last name as it appears on your photo ID when filling in the form.</li><li>If you have a guest you would like to bring with you to this event, please send them the link to register so they can sign up on their own.</li></ul>BUILDING ENTRY PROTOCOL<ul><li>Provide valid photo ID</li><li>Present your digital or printed Eventbrite ticket confirmation; make sure it is for the correct event and that the name on it matches your ID.</li><li>Limited seating is available for this in-person event and is on a first-come, first-served basis.</li><li>All attendees must be pre-registered. Walk-in entry will be denied.</li></ul>Please note that by entering the Simons Foundation, you are attesting that you are not experiencing COVID symptoms and are not knowingly positive for COVID.SCHEDULEDoors open: 5:30 p.m. (No entrance before 5:30 p.m.)Lecture: 6:00 p.m.–7:00 p.m. (Admittance closes at 6:20 p.m.)The Gerald D. Fischbach Auditorium complies with the Americans with Disabilities Act and offers accessible seating to visitors with special access needs.

<a href="https://www.simonsfoundation.org/sf-events/?type=simons-foundation-lectures" title="https://www.simonsfoundation.org/sf-events/?type=simons-foundation-lectures" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Presidential Lectures</a> are free public colloquia at the Simons Foundation centered on four main themes: Biology, Physics, Mathematics and Computer Science, and Neuroscience and Autism Science. These curated, high-level scientific talks feature leading scientists and mathematicians and are intended to foster discourse and drive discovery among the broader NYC-area research community. We invite anyone interested in the topic to join us for this weekly lecture series.

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Simulating Quantum World with Data-Free, Physics-Driven Machine Learning

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