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Neural-Network Simulation of Strongly Correlated Quantum Systems : Doctoral Thesis accepted by Heidelberg University, Heidelberg, Germany / Stefanie Czischek
| Neural-Network Simulation of Strongly Correlated Quantum Systems : Doctoral Thesis accepted by Heidelberg University, Heidelberg, Germany / Stefanie Czischek |
| Autore | Czischek, Stefanie |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xv, 205 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
82C22 - Interacting particle systems in time-dependent statistical mechanics [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Artificial Neural Networks
Neural-Network Quantum States Neuromorphic Hardware Quantum machine learning Quantum many-body systems Quantum spin systems Qubits Spiking Neurons Spin-1/2 Particles |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0229422 |
Czischek, Stefanie
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context / Leonhard Kunczik
| Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context / Leonhard Kunczik |
| Autore | Kunczik, Leonhard |
| Pubbl/distr/stampa | Wiesbaden, : Springer Vieweg, 2022 |
| Descrizione fisica | xviii, 134 p. : ill. ; 24 cm |
| Soggetto non controllato |
Attacker-Defender Scenarios
Quanten Computing Quantum Reinforcement Learning Quantum machine learning Reinforcement Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276141 |
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Kunczik, Leonhard
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| Wiesbaden, : Springer Vieweg, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
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Schuld, Maria
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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