Neural Network Simulation of a Spin Glass Dynamics Transition

A 46-minute lecture by Juan Carrasquilla at the Erwin Schrödinger International Institute for Mathematics and Physics (ESI) exploring neural network simulations of spin glass dynamics transitions. Delivered as part of the Thematic Programme on "Entanglement in Many-body Quantum Matter: Dynamics, Dissipation, Equilibration" held at ESI in 2025, the talk details a recent experiment using quantum annealing to simulate nonequilibrium dynamics of magnetic spin systems quenched through quantum glass phase transitions. Learn how neural networks were employed to simulate these dynamics and compare the computational results with experimental findings, providing insights into the intersection of quantum physics, computational modeling, and machine learning approaches to complex quantum systems.