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Applications of Quantum Computing: Quantum Machine Learning, Optimization and CERN use-cases

<!--HTML-->This talk introduces the fundamental concepts of quantum machine learning (QML). In the realm of parametrised quantum circuits, embedding of classical data and parameter optimization methods as part of the general data processing pipeline for quantum networks are being discussed. Fu...

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Detalles Bibliográficos
Autor principal: Rieger, Carla Sophie
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2873586