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Explore quantum machine learning concepts and applications using Covalent in this comprehensive lecture presented by Dr. Anna Hughes. Delve into the intersection of quantum computing and machine learning, gaining insights into how Covalent facilitates the development and implementation of quantum algorithms for machine learning tasks. Learn about the potential advantages of quantum approaches in solving complex computational problems and discover practical techniques for leveraging quantum resources in machine learning workflows. Gain a deeper understanding of the current state and future prospects of quantum machine learning, equipping yourself with valuable knowledge to navigate this cutting-edge field.
Syllabus
Quantum Machine Learning with Covalent
Taught by
Advanced Cyberinfrastructure Training at RPI