Characterizing Networks and Phase Transitions with Classical and Quantum Machine Learning

Explore a comprehensive lecture on characterizing networks and phase transitions using classical and quantum machine learning techniques. Delivered by Rafael Chaves from IPP/UFRN, Brazil, as part of the ICTP-SAIFR School on Quantum Computation held in November 2022. Delve into advanced concepts at the intersection of network analysis, phase transitions, and machine learning, with a focus on both classical and quantum approaches. Gain insights into cutting-edge research and applications in this nearly two-hour presentation, designed for graduate students and researchers in the field of quantum computation and related disciplines.