Machine learning with quantum computers /

Bibliografski detalji
Glavni autor: Schuld, Maria
Daljnji autori: Petruccione, F.
Format: Nepoznato
Jezik:English
Izdano: Cham, Switzerland : Springer, 2021.
Izdanje:Second edition.
Serija:Quantum science and technology
Teme:
Sadržaj:
  • 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