YoVDO

Data-Driven Extraction of Relevant Information in Quantum Many-Body Systems

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Quantum Many-body Systems Courses Data Analysis Courses Machine Learning Courses Quantum Information Courses Quantum Physics Courses Condensed Matter Physics Courses Statistical Physics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive lecture on data-driven techniques for extracting relevant information from quantum many-body systems. Delve into advanced concepts presented by Roberto VERDEL from ICTP, covering cutting-edge approaches in condensed matter and statistical physics. Gain insights into how data-driven methods are revolutionizing our understanding of complex quantum systems and their properties. Learn about the latest developments in this field and their potential applications in quantum physics research and technology.

Syllabus

Data-driven extraction of relevant information in quantum many-body systems


Taught by

ICTP Condensed Matter and Statistical Physics

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent