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
Intro to Computer ScienceUniversity of Virginia via Udacity Quantum Mechanics for IT/NT/BT
Korea University via Open Education by Blackboard Emergent Phenomena in Science and Everyday Life
University of California, Irvine via Coursera Quantum Information and Computing
Indian Institute of Technology Bombay via Swayam Quantum Computing
Indian Institute of Technology Kanpur via Swayam