Nuclear Physics Seminar - Alessandro Lovato (Argonne) "Variational learning quantum wave functions"
- Event Type
- Seminar/Symposium
- Sponsor
- Physics Department
- Location
- 464 Loomis
- Date
- Apr 3, 2023 1:00 pm
- Speaker
- Alessandro Lovato
- Contact
- Brandy Koebbe
- bkoebbe@illinois.edu
- Views
- 51
- Originating Calendar
- Physics - Nuclear Physics Seminar
Solving the quantum many-body problem entails non-trivial difficulties stemming from the exponential growth of the Hilbert space dimension. Artificial neural networks have proven to be a flexible tool to compactly represent quantum many-body states in condensed matter, chemistry, and nuclear physics problems, where non-perturbative interactions are prominent. I will focus on a variational Monte Carlo method based on neural-network quantum states that solves the nuclear Schrödinger equation in a systematically improvable fashion with a polynomial cost in the number of nucleons. In addition to the nuclear many-body problem, I will present applications to condensed-matter systems, such as the homogeneous electron gas and strongly interacting cold Fermi gases. Perspectives on accessing the real-time dynamics of quantum many-body systems will also be discussed.