YoVDO

Empowering Deep Neural Quantum States Through Efficient Optimization

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Quantum States Courses Machine Learning Courses Quantum Mechanics Courses Deep Learning Courses Neural Networks Courses Condensed Matter Physics Courses Computational Physics Courses Statistical Physics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a cutting-edge lecture on enhancing deep neural quantum states through advanced optimization techniques. Delve into the innovative research presented by Ao Chen from the University of Augsburg, as he discusses strategies to empower quantum state representations using neural networks. Gain insights into the intersection of quantum physics and machine learning, and discover how efficient optimization methods can revolutionize the field of quantum computation and simulation.

Syllabus

Empowering deep neural quantum states through efficient optimization


Taught by

ICTP Condensed Matter and Statistical Physics

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn
Statistical Learning with R
Stanford University via edX
Machine Learning 1—Supervised Learning
Brown University via Udacity
Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX