Towards Geometric Quantum Machine Learning
Offered By: Xanadu via YouTube
Course Description
Overview
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 UCLAInstitute 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