Characterizing Networks and Phase Transitions with Classical and Quantum Machine Learning
Offered By: ICTP-SAIFR via YouTube
Course Description
Overview
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.
Syllabus
Rafael Chaves: Characterizing networks and phase transitions with classical and quantum machine...
Taught by
ICTP-SAIFR
Related Courses
Science & Cooking: From Haute Cuisine to Soft Matter Science (chemistry)Harvard University via edX Chemistry: Concept Development and Application Part II
Rice University via Coursera Statistical Mechanics: Algorithms and Computations
École normale supérieure via Coursera General Chemistry: Concept Development and Application
Rice University via Coursera Thermodynamique : fondements
École Polytechnique Fédérale de Lausanne via Coursera