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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

Foundational quantum algorithms

A review of foundational quantum algorithms is necessary to understand the state-of-the-art progress in QC and its potential to overcome problems intractable for classical computation. Starting from the basic concepts, an algorithm is a series of computer-executable steps to conduct a computation or solve a problem (Montanaro, 2016). Consequently, an algorithm is considered quantum when it successfully performs on a quantum machine. Generally speaking, all classical algorithms could theoretically perform on such a system. Nevertheless, in a strict sense, quantum algorithms refer to those with at least one step involving quantum mechanical properties, such as superposition or entanglement. One of the main attributes of quantum computers is quantum parallelism, which allows for many existing quantum algorithms (Álvarez et al., 2008).

A quantum circuit often characterizes a quantum algorithm. A quantum circuit is a structure where the problem-solving...

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