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Quantum machine learning: what quantum computing means to data mining

Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quan...

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Detalles Bibliográficos
Autor principal: Wittek, Peter
Lenguaje:eng
Publicado: Elsevier Science 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/1953403
Descripción
Sumario:Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research. Quantum Machine L