YoVDO

Noise Robust Quantum Machine Learning - Lecture 23

Offered By: MIT HAN Lab via YouTube

Tags

Quantum Machine Learning Courses Machine Learning Courses Quantum Computing Courses Quantum Error Correction Courses Quantum Circuits Courses Variational Quantum Algorithms Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intersection of quantum computing and machine learning in this lecture from MIT's 6.5940 course. Delve into the concept of noise-robust quantum machine learning as instructor Hanrui Wang presents cutting-edge research and techniques. Gain insights into how quantum systems can be leveraged for machine learning tasks while addressing the challenges of noise in quantum circuits. Learn about the latest developments in quantum ML algorithms, error mitigation strategies, and potential applications in various fields. Access accompanying slides at efficientml.ai to enhance your understanding of this complex and rapidly evolving field.

Syllabus

EfficientML.ai Lecture 23: Noise Robust Quantum ML (MIT 6.5940, Fall 2023)


Taught by

MIT HAN Lab

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