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Characterizing Networks and Phase Transitions with Classical and Quantum Machine Learning

Offered By: ICTP-SAIFR via YouTube

Tags

Quantum Machine Learning Courses Data Analysis Courses Machine Learning Courses Quantum Computing Courses Complex Systems Courses Phase Transitions Courses Network Analysis Courses Statistical Physics Courses Quantum Information Theory Courses

Course Description

Overview

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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

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