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Machine Learning for Quantum Applications - Lecture 2

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Quantum Computing Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Quantum Information Courses Quantum Physics Courses Quantum Error Correction Courses Quantum Simulation Courses

Course Description

Overview

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Explore advanced concepts in machine learning for quantum applications in this insightful lecture by Eliska Greplova from Delft University of Technology. Delve into cutting-edge techniques and methodologies that bridge the gap between machine learning and quantum physics. Gain valuable insights into how artificial intelligence can be leveraged to solve complex quantum problems and enhance quantum technologies. Discover the latest developments in this rapidly evolving field and understand their potential impact on future quantum research and applications.

Syllabus

Machine learning for quantum applications 2


Taught by

ICTP Condensed Matter and Statistical Physics

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