Data Mining the Many-body Problem - From Equilibrium to Driven Systems by Marcello Dalmonte

Explore the intersection of data mining and many-body physics in this 52-minute lecture by Marcello Dalmonte from the International Centre for Theoretical Sciences. Delve into the application of data mining techniques to study complex many-body systems, ranging from equilibrium states to driven systems. Gain insights into how these methods can be used to extract meaningful information and patterns from large-scale quantum systems. Learn about the challenges and opportunities in applying data science approaches to understand the behavior of interacting particles in various physical scenarios. This talk is part of a program on periodically and quasi-periodically driven complex systems, covering topics such as terahertz and infrared driven quantum matter, shaken optical lattices, Floquet time crystals, and localization-delocalization physics in driven systems.

Data Mining the Many-body Problem - from Equilibrium to Driven Systems by Marcello Dalmonte