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Financial Modeling Using Quantum Computing
By :

Financial Modeling Using Quantum Computing
By:
Overview of this book
Quantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems.
This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you’ll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing.
By the end of this book, you’ll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.
Table of Contents (16 chapters)
Preface
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Part 1: Basic Applications of Quantum Computing in Finance
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Chapter 1: Quantum Computing Paradigm
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Chapter 2: Quantum Machine Learning Algorithms and Their Ecosystem
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Chapter 3: Quantum Finance Landscape
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Part 2: Advanced Applications of Quantum Computing in Finance
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Chapter 4: Derivative Valuation
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Chapter 5: Portfolio Management
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Chapter 6: Credit Risk Analytics
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Chapter 7: Implementation in Quantum Clouds
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Part 3: Upcoming Quantum Scenario
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Chapter 8: Simulators and HPC’s Role in the NISQ Era
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Chapter 9: NISQ Quantum Hardware Roadmap
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Chapter 10: Business Implementation
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Index
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