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Quantum Machine Learning Thinking by Conti Claudio (16 results)
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Condition: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Quantum Machine Learning : Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Quantum Machine Learning: Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing (Quantum Science and Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Quantum Machine Learning : Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Quantum Machine Learning : Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing
Published by Springer International Publishing, Springer International Publishing, 2025
ISBN 10: 3031442288 ISBN 13: 9783031442285
Language: English
US$ 166.99
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Quantum Machine Learning : Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing
Published by Springer International Publishing, 2024
ISBN 10: 3031442253 ISBN 13: 9783031442254
Language: English
US$ 166.99
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which can be readily approximated by neural network models, permitting a formulation of quantum physics in which physical observables can be computed via neural networks. As well as demonstrating the natural affinity of quantum physics and machine learning, this viewpoint opens rich possibilities in terms of computation, efficient hardware, and scalability. One can also obtain trainable models to optimize applications and fine-tune theories, such as approximation of the ground state in many body systems, and boosting quantum circuits' performance. The book begins with the introduction of programming tools and basic concepts of machine learning, with necessary background material from quantum mechanics and quantum information also provided. This enables the basic building blocks, neural network models for vacuum states, to be introduced. The highlights that follow include: non-classical state representations, with squeezers and beam splitters used to implement the primary layers for quantum computing; boson sampling with neural network models; an overview of available quantum computing platforms, their models, and their programming; and neural network models as a variational ansatz for many-body Hamiltonian ground states with applications to Ising machines and solitons. The book emphasizes coding, with many open source examples in Python and TensorFlow, while MATLAB and Mathematica routines clarify and validate proofs. This book is essential reading for graduate students and researchers who want to develop both the requisite physics and coding knowledge to understand the rich interplay of quantum mechanics and machine learning.
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Add to basketHardcover. Condition: Brand New. 401 pages. 9.25x6.10x1.06 inches. In Stock.
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Quantum Machine Learning | Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing
Published by Springer International Publishing, 2024
ISBN 10: 3031442253 ISBN 13: 9783031442254
Language: English
US$ 147.50
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Add to basketBuch. Condition: Neu. Quantum Machine Learning | Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing | Claudio Conti | Buch | xxiii | Englisch | 2024 | Springer International Publishing | EAN 9783031442254 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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US$ 232.83
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