Machine learning with quantum computers /

Detalles Bibliográficos
Autor principal: Schuld, Maria
Otros Autores: Petruccione, F.
Formato: Desconocido
Lenguaje:English
Publicado: Cham, Switzerland : Springer, 2021.
Edición:Second edition.
Colección:Quantum science and technology
Materias:
Tabla de Contenidos:
  • Introduction Machine learning Quantum computing Representing data on a quantum computer Variational circuits as machine learning models Quantum models as Kernel methods Fault-tolerant quantum machine learning Approaches based on the Ising model Potential quantum advantages