YoVDO

Application of Machine Learning for Advanced Quantum Detection - Class 2

Offered By: ICTP-SAIFR via YouTube

Tags

Quantum Physics Courses Artificial Intelligence Courses Data Analysis Courses Machine Learning Courses Neural Networks Courses Quantum Information Courses Pattern Recognition Courses Quantum Optics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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 Learning
University 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