Panel on Quantum Machine Learning and Barren Plateaus
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore a thought-provoking panel discussion on quantum machine learning and barren plateaus featuring experts Patrick Coles from Los Alamos National Labs, Aram Harrow from MIT, Maria Schuld from UKZN and Xanadu, and moderator Umesh Vazirani from UC Berkeley. Delve into cutting-edge topics at the intersection of quantum computing and machine learning during this 49-minute Quantum Colloquium session held on October 19th, 2021. Gain insights from leading researchers as they discuss the challenges and potential of quantum machine learning, with a focus on the phenomenon of barren plateaus in quantum neural networks. Expand your understanding of this rapidly evolving field and its implications for future technological advancements.
Syllabus
Panel on Quantum Machine Learning and Barren Plateaus | Quantum Colloquium
Taught by
Simons Institute
Related Courses
Quantum Information Science II: Quantum states, noise and error correctionMassachusetts Institute of Technology via edX Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity
Massachusetts Institute of Technology via edX Summer Cluster in Quantum Computation - Polylogues
Simons Institute via YouTube QMA and the Power of Positivity
Simons Institute via YouTube Quantum Summer Cluster Workshop - Anand Natarajan
Simons Institute via YouTube