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hardcover. Zustand: Very Good.

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Hardback. Zustand: New. Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities. However, the field remains fragmented-balancing rigorous quantum theory with practical AI applications remains a challenge. This book bridges this gap, offering a systematic, hands-on guide for AI researchers, ML practitioners, and computer scientists eager to explore this emerging frontier. It provides a cohesive roadmap, covering everything from fundamental quantum computing principles to state-of-the-art QML techniques. Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations. The book's code demonstrations offer hands-on experience, ensuring that readers can move beyond theory to real-world applications.Designed for those with an AI or ML background, this tutorial does not assume prior expertise in quantum computing. Instead, it presents complex concepts with clarity, making it an essential resource for researchers, graduate students, and industry professionals eager to stay ahead in the quantum AI revolution. Whether you seek to understand quantum speedups, develop quantum-based models, or explore future research directions, this book provides the foundation you need to engage with QML and shape the future of intelligent computing.…

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Hardback. Zustand: New. Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities. However, the field remains fragmented-balancing rigorous quantum theory with practical AI applications remains a challenge. This book bridges this gap, offering a systematic, hands-on guide for AI researchers, ML practitioners, and computer scientists eager to explore this emerging frontier. It provides a cohesive roadmap, covering everything from fundamental quantum computing principles to state-of-the-art QML techniques. Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations. The book's code demonstrations offer hands-on experience, ensuring that readers can move beyond theory to real-world applications.Designed for those with an AI or ML background, this tutorial does not assume prior expertise in quantum computing. Instead, it presents complex concepts with clarity, making it an essential resource for researchers, graduate students, and industry professionals eager to stay ahead in the quantum AI revolution. Whether you seek to understand quantum speedups, develop quantum-based models, or explore future research directions, this book provides the foundation you need to engage with QML and shape the future of intelligent computing.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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hardcover. Zustand: New.

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Hardcover. Zustand: Brand New. 220 pages. 9.26x6.11x9.21 inches. In Stock.

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Hardback. Zustand: New. Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities. However, the field remains fragmented-balancing rigorous quantum theory with practical AI applications remains a challenge. This book bridges this gap, offering a systematic, hands-on guide for AI researchers, ML practitioners, and computer scientists eager to explore this emerging frontier. It provides a cohesive roadmap, covering everything from fundamental quantum computing principles to state-of-the-art QML techniques. Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations. The book's code demonstrations offer hands-on experience, ensuring that readers can move beyond theory to real-world applications.Designed for those with an AI or ML background, this tutorial does not assume prior expertise in quantum computing. Instead, it presents complex concepts with clarity, making it an essential resource for researchers, graduate students, and industry professionals eager to stay ahead in the quantum AI revolution. Whether you seek to understand quantum speedups, develop quantum-based models, or explore future research directions, this book provides the foundation you need to engage with QML and shape the future of intelligent computing.…

Zustand: New.

Hardback. Zustand: New. Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities. However, the field remains fragmented-balancing rigorous quantum theory with practical AI applications remains a challenge. This book bridges this gap, offering a systematic, hands-on guide for AI researchers, ML practitioners, and computer scientists eager to explore this emerging frontier. It provides a cohesive roadmap, covering everything from fundamental quantum computing principles to state-of-the-art QML techniques. Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations. The book's code demonstrations offer hands-on experience, ensuring that readers can move beyond theory to real-world applications.Designed for those with an AI or ML background, this tutorial does not assume prior expertise in quantum computing. Instead, it presents complex concepts with clarity, making it an essential resource for researchers, graduate students, and industry professionals eager to stay ahead in the quantum AI revolution. Whether you seek to understand quantum speedups, develop quantum-based models, or explore future research directions, this book provides the foundation you need to engage with QML and shape the future of intelligent computing.…

Hardcover. Zustand: Brand New. 220 pages. 9.26x6.11x9.21 inches. In Stock. This item is printed on demand.

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Hardcover. Zustand: new. Hardcover. An ore deposit is an aggregate of minerals that can be economically recoverable and utilized. Ore minerals and gangue minerals are products of ore-forming processes and indicators of ore genesis. The radioisotopes of minerals can provide insights into the ages of mineralization. The stable isotopes of minerals can indicate the nature and origin of ore metals and fluids. The chemical composition of minerals can reflect the original composition and evolution of ore fluids. Combined with the texture, generation, and paragenetic association of minerals, the ore-forming processes can be well constrained. This Special Issue is intended to present mineralogical, geochemical, isotopic, and geochronological studies aiming at constraining the ore-forming processes and mechanisms of various types of mineral deposits. This Special Issue brings together nine studies that employ mineral-based investigations to advance the understanding of ore-forming processes. The contributions demonstrate how integrated approaches combining microtextural analysis, in-situ geochemistry, and isotopic systems can unravel complex mineralization processes across diverse geological settings. These studies successfully trace fluid evolution pathways, constrain metal sources, determine precise mineralization ages, and reveal petrogenetic processes controlling metal endowment. The findings demonstrate how mineral-scale signatures can reveal large-scale geological processes, from crust-mantle interactions in magmatic systems to fluid-rock reactions in hydrothermal environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An ore deposit is an aggregate of minerals that can be economically recoverable and utilized. Ore minerals and gangue minerals are products of ore-forming processes and indicators of ore genesis. The radioisotopes of minerals can provide insights into the ages of mineralization. The stable isotopes of minerals can indicate the nature and origin of ore metals and fluids. The chemical composition of minerals can reflect the original composition and evolution of ore fluids. Combined with the texture, generation, and paragenetic association of minerals, the ore-forming processes can be well constrained. This Special Issue is intended to present mineralogical, geochemical, isotopic, and geochronological studies aiming at constraining the ore-forming processes and mechanisms of various types of mineral deposits. This Special Issue brings together nine studies that employ mineral-based investigations to advance the understanding of ore-forming processes. The contributions demonstrate how integrated approaches combining microtextural analysis, in-situ geochemistry, and isotopic systems can unravel complex mineralization processes across diverse geological settings. These studies successfully trace fluid evolution pathways, constrain metal sources, determine precise mineralization ages, and reveal petrogenetic processes controlling metal endowment. The findings demonstrate how mineral-scale signatures can reveal large-scale geological processes, from crust-mantle interactions in magmatic systems to fluid-rock reactions in hydrothermal environments.…

Buch. Zustand: Neu. Using Mineral Chemistry to Characterize Ore-Forming Processes | Buch | Englisch | 2026 | MDPI AG | EAN 9783725866281 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.