Data Mining the Many-body Problem - From Equilibrium to Driven Systems by Marcello Dalmonte
International Centre for Theoretical Sciences via YouTube
Overview
This course covers the following learning outcomes and goals: understanding periodically and quasi-periodically driven complex systems, exploring closed quantum systems with time-dependent Hamiltonians, open quantum systems, and gauge theory of coupling between matter and radiation.
The course teaches skills such as analyzing terahertz and infrared driven quantum matter, working with shaken optical lattices and cold atoms, studying Floquet time crystals, understanding localization-delocalization physics in quasi-periodically driven systems, and exploring the dynamics of gauge theories.
The teaching method involves lectures, discussions, and potentially hands-on quantum simulation experiments.
The intended audience for this course includes researchers, academics, and professionals working in the fields of quantum physics, condensed matter physics, and theoretical physics, who are interested in the interplay between theory and experiment in complex systems.
Syllabus
Data Mining the Many-body Problem - from Equilibrium to Driven Systems by Marcello Dalmonte
Taught by
International Centre for Theoretical Sciences