YoVDO

Towards Geometric Quantum Machine Learning

Offered By: Xanadu via YouTube

Tags

Quantum Machine Learning Courses Quantum Information Science Courses Quantum Neural Networks Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the cutting-edge field of geometric quantum machine learning in this insightful conference talk delivered by Marco Cerezo, Staff Scientist at Los Alamos National Laboratory, during QHack 2023. Delve into the intersection of quantum computing and machine learning as Cerezo presents groundbreaking research and discusses potential applications in this rapidly evolving domain. Gain valuable insights into the latest advancements and future directions of quantum machine learning from a leading expert in the field.

Syllabus

Marco Cerezo: Towards Geometric Quantum Machine Learning | QHack 2023


Taught by

Xanadu

Related Courses

Training Quantum Neural Networks with an Unbounded Loss Function - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Panel on Quantum Machine Learning and Barren Plateaus
Simons Institute via YouTube
Stanford Seminar - Computing with Physical Systems
Stanford University via YouTube
Understanding Quantum Machine Learning Also Requires Rethinking Generalization
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Quantum Neural Networks: Design and Training for Quantum Learning Tasks
Simons Institute via YouTube