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

Topology in Condensed Matter: Tying Quantum Knots
Delft University of Technology via edX
Atomic and Optical Physics I– Part 3: Atom-Light Interactions 1 -- Matrix elements and quantized field
Massachusetts Institute of Technology via edX
Atomic and Optical Physics I – Part 5: Coherence
Massachusetts Institute of Technology via edX
Atomic and Optical Physics: Quantum States and Dynamics of Photons
Massachusetts Institute of Technology via edX
Atomic and Optical Physics: Atom-photon interactions
Massachusetts Institute of Technology via edX