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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

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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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