Amazon re:MARS 2022 - Quantum machine learning: Prospects and challenges (MLR337)

This session provides an overview of quantum machine learning as a way to enhance performance in machine learning applications, both through quantum algorithms for linear algebra and quantum neural networks. Learn how quantum computers can efficiently perform tasks, like topological data analysis, determinant sampling, and singular value decomposition of compound matrices, that open the way to a variety of advanced applications. While quantum machine learning is waiting for better quantum hardware before delivering on its promise, in this session, learn how quantum neural networks on present quantum computers can start offering expressive and interpretable models.

Learn more about Amazon re:MARS at https://bit.ly/3tEIy98

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