Quantum Machine Learning and Optimisation in Finance

Get a detailed introduction to quantum computing and quantum machine learning, with a focus on finance-related applications

Key Features

• Find out how quantum algorithms enhance financial modeling and decision-making
• Improve your knowledge of the variety of quantum machine learning and optimisation algorithms
• Look into practical near-term applications for tackling real-world financial challenges
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Familiarize yourself with analog and digital quantum computing principles and methods
• Explore solutions to NP-hard combinatorial optimisation problems using quantum annealers
• Build and train quantum neural networks for classification and market generation
• Discover how to leverage quantum feature maps for enhanced data representation
• Work with variational algorithms to optimise quantum processes
• Implement symmetric encryption techniques on a quantum computer

Who this book is for

This book is for academic researchers, STEM students, finance professionals in quantitative finance, and AI/ML experts. No prior knowledge of quantum mechanics is needed. Mathematical concepts are rigorously presented, but the emphasis is on understanding the fundamental properties of models and algorithms, making them accessible to a broader audience. With its deep coverage of QML applications for solving real-world financial challenges, this guide is an essential resource for anyone interested in finance and quantum computing.