Machine learning with quantum computers /

Библиографические подробности
Главный автор: Schuld, Maria
Другие авторы: Petruccione, F.
Формат: Неизвестно
Язык:English
Опубликовано: Cham, Switzerland : Springer, 2021.
Редактирование:Second edition.
Серии:Quantum science and technology
Предметы:
Оглавление:
  • 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