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Panel on Quantum Machine Learning and Barren Plateaus

Offered By: Simons Institute via YouTube

Tags

Quantum Machine Learning Courses Quantum Computing Courses Quantum Error Correction Courses Quantum Complexity Theory Courses Quantum Information Theory Courses Variational Quantum Algorithms Courses Quantum Neural Networks Courses

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

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