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Application of Machine Learning for Advanced Quantum Detection - Class 1

Offered By: ICTP-SAIFR via YouTube

Tags

Quantum Physics Courses Artificial Intelligence Courses Data Analysis Courses Machine Learning Courses Neural Networks Courses Signal Processing Courses Quantum Information Courses Quantum Optics Courses

Course Description

Overview

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Explore the intersection of machine learning and quantum detection in this comprehensive lecture by Miroslav Ježek from Palacky University Olomouc, Czech Republic. Delve into advanced techniques for applying machine learning algorithms to enhance quantum detection processes. Gain insights into cutting-edge research and practical applications in the field of quantum information science. Learn about the latest developments in quantum sensing and measurement, and understand how machine learning can optimize these processes. Discover the potential impact of these advancements on various areas of quantum technology, including quantum computing and communication. This 1-hour 31-minute talk, part of the ICTP-SAIFR program, offers a deep dive into the exciting possibilities at the forefront of quantum science and artificial intelligence.

Syllabus

Miroslav Ježek: Application of Machine Learning for Advanced Quantum Detection. - Class 1


Taught by

ICTP-SAIFR

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