Machine learning with quantum computers /

Podrobná bibliografie
Hlavní autor: Schuld, Maria
Další autoři: Petruccione, F.
Médium: Neznámo
Jazyk:English
Vydáno: Cham, Switzerland : Springer, 2021.
Vydání:Second edition.
Edice:Quantum science and technology
Témata:
Obsah:
  • 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