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Financial Modeling Using Quantum Computing

You're reading from   Financial Modeling Using Quantum Computing Design and manage quantum machine learning solutions for financial analysis and decision making

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804618424
Length 292 pages
Edition 1st Edition
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Authors (4):
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Iraitz Montalban Iraitz Montalban
Author Profile Icon Iraitz Montalban
Iraitz Montalban
Anshul Saxena Anshul Saxena
Author Profile Icon Anshul Saxena
Anshul Saxena
Javier Mancilla Javier Mancilla
Author Profile Icon Javier Mancilla
Javier Mancilla
Christophe Pere Christophe Pere
Author Profile Icon Christophe Pere
Christophe Pere
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Basic Applications of Quantum Computing in Finance
2. Chapter 1: Quantum Computing Paradigm FREE CHAPTER 3. Chapter 2: Quantum Machine Learning Algorithms and Their Ecosystem 4. Chapter 3: Quantum Finance Landscape 5. Part 2: Advanced Applications of Quantum Computing in Finance
6. Chapter 4: Derivative Valuation 7. Chapter 5: Portfolio Management 8. Chapter 6: Credit Risk Analytics 9. Chapter 7: Implementation in Quantum Clouds 10. Part 3: Upcoming Quantum Scenario
11. Chapter 8: Simulators and HPC’s Role in the NISQ Era 12. Chapter 9: NISQ Quantum Hardware Roadmap 13. Chapter 10: Business Implementation 14. Index 15. Other Books You May Enjoy

Quantum Machine Learning Algorithms and Their Ecosystem

In recent decades, many quantum computing scientists have leaned towards researching and generating quantum algorithms and their practical realization (Cerezo et al., 2021; Montanaro, 2016). As discussed in the previous chapter, quantum computers differ from classical computers mainly in the form of computation they employ. They can solve problems that are intractable for classical systems (Arute et al., 2019). In a quantum computer, instead of classical bits, qubits are the fundamental unit of information. The implementation of quantum algorithms is based fundamentally on the physical qualities of these qubits compared to classical bits. Still, the physical realization of quantum computers has not yet reached the level of maturity attained by their classical counterparts, where millions of transistors can be placed in a limited space without compromising their accuracy or functioning.

Noise and error control are crucial for...

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