Application of Machine Learning for Advanced Quantum Detection - Class 2
Offered By: ICTP-SAIFR via YouTube
Course Description
Overview
Explore advanced quantum detection techniques through the application of machine learning in this comprehensive lecture. Delve into cutting-edge research presented by Miroslav Ježek from Palacky University Olomouc, Czech Republic. Gain insights into how machine learning algorithms can enhance quantum detection methods, potentially revolutionizing fields such as quantum sensing, quantum communication, and quantum computing. Examine the intersection of quantum physics and artificial intelligence, understanding how these two powerful disciplines can be combined to push the boundaries of scientific discovery. Learn about the latest developments in quantum technology and their potential impact on future applications. This 1-hour and 22-minute talk is part of a series organized by ICTP-SAIFR, offering a unique opportunity to engage with frontier research in quantum science and machine learning.
Syllabus
Miroslav Ježek: Application of Machine Learning for Advanced Quantum Detection - Class 2
Taught by
ICTP-SAIFR
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX