Machine learning with quantum computers /

Bibliografiska uppgifter
Huvudupphovsman: Schuld, Maria
Övriga upphovsmän: Petruccione, F.
Materialtyp: Okänd
Språk:English
Publicerad: Cham, Switzerland : Springer, 2021.
Upplaga:Second edition.
Serie:Quantum science and technology
Ämnen:
Innehållsförteckning:
  • 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