Machine learning with quantum computers /

Bibliographische Detailangaben
1. Verfasser: Schuld, Maria
Weitere Verfasser: Petruccione, F.
Format: Unbekannt
Sprache:English
Veröffentlicht: Cham, Switzerland : Springer, 2021.
Ausgabe:Second edition.
Schriftenreihe:Quantum science and technology
Schlagworte:
Inhaltsangabe:
  • 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