Machine Learning for Quantum Applications - Part 1
Offered By: ICTP Condensed Matter and Statistical Physics via YouTube
Course Description
Overview
Explore the intersection of machine learning and quantum applications in this 39-minute lecture delivered by Eliska Greplova from Delft University of Technology. Gain insights into the fundamental concepts and potential applications of machine learning techniques in quantum systems. Discover how these cutting-edge technologies are shaping the future of quantum research and development.
Syllabus
Machine learning for quantum applications 1 - Part 1
Taught by
ICTP Condensed Matter and Statistical Physics
Related Courses
The Finite Element Method for Problems in PhysicsUniversity of Michigan via Coursera Computational Physics
Indian Institute of Science Education and Research, Pune via Swayam Manipulate Coulomb's Law Concepts using Wolfram notebook
Coursera Project Network via Coursera Lagrangian Coherent Structures in Unsteady Fluids with Finite Time Lyapunov Exponents
Steve Brunton via YouTube Changing Physics Education with Julia
The Julia Programming Language via YouTube