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

Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera