Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione

• Autore: Schuld, Maria
• Pubblicazione: Cham, : Springer, 2018
• Titolo uniforme: Supervised Learning with Quantum Computers
• Descrizione fisica: xiii, 297 p. : ill. ; 24 cm
• Soggetto topico: 68Q12 - Quantum algorithms and complexity in the theory of computing [MSC 2020]; 68Q32 - Computational learning theory [MSC 2020]; 68Qxx - Theory of computing [MSC 2020]; 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]; 81-XX - Quantum theory [MSC 2020]; 81P68 - Quantum computation [MSC 2020]; 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020]
• Soggetto non controllato: Adiabatic quantum computing; Artificial neural network; Belief nets; Boltzmann machines; Data driven prediction; Deutsch-Josza algorithm; Grover search; Hidden Markov Model; Hopfield models; Kernel methods; Near term application; Qsample encoding; Quantum Walks; Quantum annealing; Quantum blas; Quantum gates; Quantum inference; Quantum machine learning; Quantum phase estimation
• Altri autori: Petruccione, Francesco
• Titolo autorizzato: Supervised Learning with Quantum Computers
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00211752
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-319-96424-9
• Serie: Quantum Science and Technology Berlin [etc.] . -Springer