YoVDO

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

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

Related Courses

Quantum Information and Computing
Indian Institute of Technology Bombay via Swayam Quantum Computing
Indian Institute of Technology Kanpur via Swayam Understanding Quantum Computers
Keio University via FutureLearn Quantum Information Science I, Part 1
Massachusetts Institute of Technology via edX Quantum Information Science II: Quantum states, noise and error correction
Massachusetts Institute of Technology via edX