May 2023
Intermediate to advanced
292 pages
7h 54m
English
book
Financial Modeling Using Quantum Computing
by Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere
Overview
Delve into quantum computing's revolutionary potential for financial applications with "Financial Modeling Using Quantum Computing." This book introduces you to the world of quantum machine learning (QML) within a financial context, providing both theoretical underpinnings and hands-on examples. By the end, you'll be equipped to design quantum computing models to solve complex financial modeling problems.
What this Book will help me do
- Understand the role and potential of Quantum Computing in financial modeling.
- Learn to apply quantum frameworks like Qiskit and Pennylane for data analysis.
- Acquire knowledge of NISQ algorithms and their applications in finance.
- Develop models to solve problems like portfolio optimization and risk analysis.
- Discover best practices for implementing quantum solutions in finance.
Author(s)
Anshul Saxena, Javier Mancilla, Iraitz Montalban, and Christophe Pere are experts in quantum computing and financial modeling. With academic and industry experience, they excel in blending theory with practical insights. Their collaborative approach ensures a balance of technical rigor and real-world application, making the book accessible and impactful.
Who is it for?
This book is ideal for financial analysts, quantitative researchers, and developers who wish to integrate quantum computing into their workflows. If you are looking to explore quantum computing to enhance your financial modeling capabilities, this book is for you. A foundational grasp of Python, calculus, and quantum concepts will help in benefiting fully from the book. It is particularly suited for professionals eager to adopt frontier technologies in finance.
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