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Tutorial: Machine Learning With Quantum Computers

Can Quantum Computers Help with Machine Learning?

Maria Schuld


This introduction wants to give you an intuition for the main challenge of quantum machine learning: to find out how machine learning could potentially be innovated by technology based on (ever so subtly) different physics principles, if we only have access to small-scale prototypes and mathematical theory. You’ll also learn about two important paradigms in quantum computing, the near-term and fault-tolerant approaches, and about some popular research areas within QML.