Machine learning with quantum computers /

Detaylı Bibliyografya
Yazar: Schuld, Maria
Diğer Yazarlar: Petruccione, F.
Materyal Türü: Bilinmiyor
Dil:English
Baskı/Yayın Bilgisi: Cham, Switzerland : Springer, 2021.
Edisyon:Second edition.
Seri Bilgileri:Quantum science and technology
Konular:
İçindekiler:
  • 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