Quantum-Inspired Optimization for Portfolio Construction: Hybrid Algorithms with Qiskit and PennyLane in Finance

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Bol Reactive PublishingDiscover how quantum-inspired techniques are transforming modern portfolio construction.In this practical guide, explore hybrid classical-quantum algorithms that bridge cutting-edge quantum frameworks with real financial applications. Using Qiskit and PennyLane, you'll learn to implement optimization methods that address complex portfolio challenges on today's hardware.What You'll Learn: - Core principles of quantum-inspired optimization and how they apply to finance- Building and testing hybrid algorithms for portfolio construction- Practical implementations with Qiskit and PennyLane- Key considerations for moving from theory to applied financial modelingWhether you're a quantitative analyst, developer, or researcher interested in the intersection of quantum computing and finance, this book provides clear explanations, code examples, and actionable insights to help you evaluate and apply these emerging tools.Ideal for readers with basic Python knowledge and an interest in advanced computational methods for investment strategies.

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Reactive PublishingDiscover how quantum-inspired techniques are transforming modern portfolio construction.In this practical guide, explore hybrid classical-quantum algorithms that bridge cutting-edge quantum frameworks with real financial applications. Using Qiskit and PennyLane, you'll learn to implement optimization methods that address complex portfolio challenges on today's hardware.What You'll Learn: - Core principles of quantum-inspired optimization and how they apply to finance- Building and testing hybrid algorithms for portfolio construction- Practical implementations with Qiskit and PennyLane- Key considerations for moving from theory to applied financial modelingWhether you're a quantitative analyst, developer, or researcher interested in the intersection of quantum computing and finance, this book provides clear explanations, code examples, and actionable insights to help you evaluate and apply these emerging tools.Ideal for readers with basic Python knowledge and an interest in advanced computational methods for investment strategies.

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Pages: 535, Paperback, Independently published


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Merk Independently Published
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  • 9798180880116
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