YoVDO

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Social Network Analysis
University of Michigan via Coursera
Intro to Algorithms
Udacity
Data Analysis
Johns Hopkins University via Coursera
Computing for Data Analysis
Johns Hopkins University via Coursera
Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX