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Machine Learning with Quantum Computers / / by Maria Schuld, Francesco Petruccione



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Autore: Schuld Maria Visualizza persona
Titolo: Machine Learning with Quantum Computers / / by Maria Schuld, Francesco Petruccione Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Edizione: 2nd ed. 2021.
Descrizione fisica: 1 online resource (321 pages)
Disciplina: 004.1
Soggetto topico: Quantum computers
Machine learning
Mathematics
Quantum Computing
Machine Learning
Mathematics and Computing
Persona (resp. second.): PetruccioneF (Francesco)
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Chapter 1. Introduction -- Chapter 2. Machine Learning -- Chapter 3. Quantum Computing -- Chapter 4. Representing Data on a Quantum Computer -- Chapter 5. Variational Circuits as Machine Learning Models -- Chapter 6. Quantum Models as Kernel Methods -- Chapter 7. Fault-Tolerant Quantum Machine Learning -- Chapter 8. Approaches Based on the Ising Model -- Chapter 9. Potential Quantum Advantages.
Sommario/riassunto: This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.
Titolo autorizzato: Machine learning with quantum computers  Visualizza cluster
ISBN: 3-030-83098-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910506399603321
Lo trovi qui: Univ. Federico II
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Serie: Quantum Science and Technology, . 2364-9062