Explore the fascinating intersection of quantum computing and generative machine learning in this comprehensive 58-minute webinar. Delve into the fundamentals of quantum computing and its applications in machine learning, focusing on the Quantum Circuit Born Machine (QCBM). Learn to differentiate between classical and quantum machine learning, understand quantum bits and measurement, and grasp concepts like quantum entanglement. Discover practical applications through the bars and stripes dataset, and gain insights on accessing relevant tools for quantum generative machine learning. Engage with a Q&A session to deepen your understanding of this cutting-edge field.
Quantum Generative Machine Learning Explained - Quantum Leap in the Generation of Computing
Overview
Syllabus
Introduction
Intro to quantum generative machine learning
Classical vs. quantum machine learning
Classical bits vs. quantum bits
Measurement
Measuring different bases
Quantum entanglement
What circuit to use?
The bars and stripes dataset
Where to access relevant tools
QnA
Taught by
Data Science Dojo
