Machine learning with quantum computers /

Bibliografische gegevens
Hoofdauteur: Schuld, Maria
Andere auteurs: Petruccione, F.
Formaat: Onbekend
Taal:English
Gepubliceerd in: Cham, Switzerland : Springer, 2021.
Editie:Second edition.
Reeks:Quantum science and technology
Onderwerpen:
Inhoudsopgave:
  • 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