Learning Quantum Systems: From Physics-Inspired Models to Hamiltonian Learning

Explore the intersection of quantum physics and machine learning in this 50-minute lecture by Max PRÜFER from TU Wien. Delve into physics-inspired models and Hamiltonian learning techniques used to understand and predict the behavior of complex quantum systems. Gain insights into cutting-edge approaches that bridge the gap between theoretical physics and data-driven methodologies, enhancing our ability to analyze and manipulate quantum phenomena.

Learning quantum systems: from physics-inspired models to Hamiltonian learning