Machine learning with quantum computers /

Xehetasun bibliografikoak
Egile nagusia: Schuld, Maria
Beste egile batzuk: Petruccione, F.
Formatua: Ezezaguna
Hizkuntza:English
Argitaratua: Cham, Switzerland : Springer, 2021.
Edizioa:Second edition.
Saila:Quantum science and technology
Gaiak:
Aurkibidea:
  • 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