Noise Robust Quantum Machine Learning - Lecture 23
Offered By: MIT HAN Lab via YouTube
Course Description
Overview
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
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