Isbn: 9798264344626 - quantum machine learning for trading: harnessing qml, quantum annealing, and hybrid models for financial market: cutting-edge quantum-ai approaches for portfolio optimization and alpha discovery (7 risultati)

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  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798264344626

    Serie: Libro 3 di 6 - Finance in Superposition

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798264344626

    Serie: Libro 3 di 6 - Finance in Superposition

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798264344626

    Serie: Libro 3 di 6 - Finance in Superposition

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    Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA

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    Paperback. Condizione: New.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798264344626

    Serie: Libro 3 di 6 - Finance in Superposition

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    Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK

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  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798264344626

    Serie: Libro 3 di 6 - Finance in Superposition

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    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    EUR 55,64

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    Paperback. Condizione: new. Paperback. Reactive PublishingThe future of quantitative finance is not just artificial intelligence, it's quantum intelligence. As traditional machine learning models push against the boundaries of classical computing, quantum machine learning (QML) offers a radical leap forward in speed, complexity, and the ability to model financial systems that were once computationally impossible.Quantum Machine Learning for Trading: Harnessing QML, Quantum Annealing, and Hybrid Models for Financial Markets is a groundbreaking guide that brings quantum theory into the heart of trading strategy. James Preston bridges the gap between cutting-edge research and practical market applications, showing how quantum technologies can redefine alpha generation, portfolio optimization, and risk management.Inside you'll discover how to: Apply quantum annealing to optimize large, complex portfolios under real-world constraints.Build hybrid classical-quantum algorithms that outperform traditional machine learning in financial contexts.Use QML models for high-frequency trading, volatility forecasting, and systemic risk analysis.Leverage quantum simulators to generate synthetic market data and test strategies beyond classical limits.Anticipate the regulatory and infrastructure shifts that will shape the adoption of quantum finance.Packed with technical depth and market-driven insight, this book equips quants, traders, and researchers with the tools to stay ahead of the quantum curve. Whether you're exploring QML for the first time or seeking to deploy advanced hybrid systems in production, you'll learn how to transform the theoretical promise of quantum into a real-world trading advantage.Welcome to the quantum era of finance. The edge belongs to those who prepare now. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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    EUR 55,65

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  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798264344626

    Serie: Libro 3 di 6 - Finance in Superposition

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    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    EUR 58,73

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    Paperback. Condizione: new. Paperback. Reactive PublishingThe future of quantitative finance is not just artificial intelligence, it's quantum intelligence. As traditional machine learning models push against the boundaries of classical computing, quantum machine learning (QML) offers a radical leap forward in speed, complexity, and the ability to model financial systems that were once computationally impossible.Quantum Machine Learning for Trading: Harnessing QML, Quantum Annealing, and Hybrid Models for Financial Markets is a groundbreaking guide that brings quantum theory into the heart of trading strategy. James Preston bridges the gap between cutting-edge research and practical market applications, showing how quantum technologies can redefine alpha generation, portfolio optimization, and risk management.Inside you'll discover how to: Apply quantum annealing to optimize large, complex portfolios under real-world constraints.Build hybrid classical-quantum algorithms that outperform traditional machine learning in financial contexts.Use QML models for high-frequency trading, volatility forecasting, and systemic risk analysis.Leverage quantum simulators to generate synthetic market data and test strategies beyond classical limits.Anticipate the regulatory and infrastructure shifts that will shape the adoption of quantum finance.Packed with technical depth and market-driven insight, this book equips quants, traders, and researchers with the tools to stay ahead of the quantum curve. Whether you're exploring QML for the first time or seeking to deploy advanced hybrid systems in production, you'll learn how to transform the theoretical promise of quantum into a real-world trading advantage.Welcome to the quantum era of finance. The edge belongs to those who prepare now. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.