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Noise Robust Quantum Machine Learning - Lecture 23

Offered By: MIT HAN Lab via YouTube

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Quantum Machine Learning Courses Machine Learning Courses Quantum Computing Courses Quantum Error Correction Courses Quantum Circuits Courses Quantum Information Theory Courses

Course Description

Overview

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Explore the intersection of quantum computing and machine learning in this lecture on Noise Robust Quantum ML, part of MIT's 6.5940 course for Fall 2023. Delivered by instructor Hanrui Wang via Zoom, the 1 hour and 15 minute session delves into advanced concepts of quantum machine learning, focusing on techniques to make quantum ML algorithms resilient to noise. Access comprehensive slides and additional resources at efficientml.ai to enhance your understanding of this cutting-edge field. Gain insights into the challenges and solutions in implementing machine learning algorithms on quantum hardware, and learn how to design robust quantum ML systems that can operate effectively in the presence of quantum noise.

Syllabus

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


Taught by

MIT HAN Lab

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