YoVDO

Learnability Phase Transitions in Quantum Dynamics - Part I

Offered By: BSS Physics School via YouTube

Tags

Quantum Dynamics Courses Machine Learning Courses Computational Complexity Courses Quantum Physics Courses Statistical Mechanics Courses Quantum Information Theory Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the concept of "learnability" phase transitions in quantum dynamics in this comprehensive lecture delivered by Sarang Gopalakrishnan at the BSS Physics School. Delve into the intricate relationship between quantum systems and machine learning, examining how phase transitions in quantum dynamics impact the ability to learn and predict system behavior. Gain insights into cutting-edge research at the intersection of quantum physics and artificial intelligence, and understand the implications for quantum computing and information processing. Discover the fundamental principles and theoretical frameworks that underpin this emerging field, and learn about potential applications in quantum technologies and beyond.

Syllabus

BSS2023, Sarang Gopalakrishnan, "Learnability" phase transitions in quantum dynamics I, July 12


Taught by

BSS Physics School

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