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Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione
Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione
Autore Schuld, Maria
Pubbl/distr/stampa Cham, : Springer, 2018
Descrizione fisica xiii, 297 p. : ill. ; 24 cm
Altri autori (Persone) Petruccione, Francesco
Soggetto topico 81P68 - Quantum computation [MSC 2020]
68Qxx - Theory of computing [MSC 2020]
81-XX - Quantum theory [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
68Q12 - Quantum algorithms and complexity in the theory of computing [MSC 2020]
68Q32 - Computational learning theory [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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0211752
Schuld, Maria  
Cham, : Springer, 2018
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione
Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione
Autore Schuld, Maria
Pubbl/distr/stampa Cham, : Springer, 2018
Descrizione fisica xiii, 297 p. : ill. ; 24 cm
Altri autori (Persone) Petruccione, Francesco
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00211752
Schuld, Maria  
Cham, : Springer, 2018
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui