Da: PBShop.store UK, Fairford, GLOS, Regno Unito
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo CX-9780750349505
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo CX-9780750349505
Quantità: 15 disponibili
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Hardback. Condizione: New. Codice articolo LU-9780750349505
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. Codice articolo B9780750349505
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. The scope of the book spans from the fundamental postulates of quantum mechanics and quantum algorithms that underpin QML, to advanced topics including variational quantum algorithms, quantum neural networks, and quantum generative models. It covers both the theoretical formulations, such as expressivity, generalization bounds, and kernel methods, and practical applications, ranging from optimization and pattern recognition to simulation and sensing. The text also explores hybrid quantum-classical workflows, error mitigation strategies, and benchmarks that connect algorithmic development to near-term hardware implementations. By the end of this book, readers gain a holistic view of the current state, promises, and challenges of QML, as well as directions for future research in this rapidly evolving field.Key Features:A chapter on quantum generative models.Accessible reference text useful for both students and researchers.Case studies This book provides a comprehensive, self-contained introduction to quantum machine learning, uniting the principles of quantum computing and modern learning theory to explore how quantum mechanics can enhance data-driven algorithms and their implementation on near-term quantum devices. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780750349505
Quantità: 1 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In English. Codice articolo ria9780750349505_new
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 44507111-n
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Da: CitiRetail, Stevenage, Regno Unito
Hardcover. Condizione: new. Hardcover. The scope of the book spans from the fundamental postulates of quantum mechanics and quantum algorithms that underpin QML, to advanced topics including variational quantum algorithms, quantum neural networks, and quantum generative models. It covers both the theoretical formulations, such as expressivity, generalization bounds, and kernel methods, and practical applications, ranging from optimization and pattern recognition to simulation and sensing. The text also explores hybrid quantum-classical workflows, error mitigation strategies, and benchmarks that connect algorithmic development to near-term hardware implementations. By the end of this book, readers gain a holistic view of the current state, promises, and challenges of QML, as well as directions for future research in this rapidly evolving field.Key Features:A chapter on quantum generative models.Accessible reference text useful for both students and researchers.Case studies This book provides a comprehensive, self-contained introduction to quantum machine learning, uniting the principles of quantum computing and modern learning theory to explore how quantum mechanics can enhance data-driven algorithms and their implementation on near-term quantum devices. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780750349505
Quantità: 1 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 44507111-n
Quantità: Più di 20 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 44507111
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