Financial Modeling Using Quantum Computing

Achieve optimized solutions for real-world financial problems using quantum machine learning algorithms

Key Features

• Learn how to solve financial analysis problems by harnessing Quantum power
• Unlock Quantum benefits and its potential to solve problems
• Train QML to solve portfolio optimization and risk analytics problems

Book Description

Quantum computing solutions can revolutionize the computing paradigm. Quantum algorithms, when implemented in conjunction with artificial intelligence and machine learning processes, harness the power of qubits to provide a comprehensive and optimized solution for complex financial problems

This book includes step-by-step guidance on how to use different quantum algorithm frameworks in a Python environment to resolve business problems in the finance domain. This book also compares solutions provided by popular Python libraries to resolve complex business problems against quantum algorithms. A simple approach is taken towards explaining the complex quantum algorithms in the book. Without dwelling much into the complex mathematical formulas, the authors have ensured that intricate quantum principles are presented in a simple yet comprehensive manner. You'll be able to start working with simple programs that illustrate quantum computing principles and will slowly work your way up to more complex programs and algorithms that leverage quantum computing

By the end of this book, you will be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling

What you will learn

• Explore framework, model and technique deployed for Quantum Computing
• Understand the role of QC in financial modeling and simulations
• Apply Qiskit and Pennylane framework for financial modeling
• Build and train models using the most well-known NISQ algorithms
• Explore best practices for writing QML algorithms
• Use QML algorithms to understand and solve data mining problems
• Dig into social media data using Quantum Natural Language Processing

Who This Book Is For

This book is suitable for financial practitioners, Quantitative Analysts, and developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. Before you get started with this book, you'll need a basic understanding of Python, calculus, linear algebra, and the basics of quantum computing

Table of Contents

1. Quantum Computing Paradigm
2. Quantum Machine Learning Algorithms
3. Quantum Finance Landscape
4. Derivatives Valuation
5. Portfolio Valuations
6. Credit Risk Analytics
7. Implementation in Quantum Clouds
8. HPCs and Simulators Relevance
9. NISQ Quantum Hardware Evolution
10. Quantum Roadmap for Banks and Fintechs