October 2022
Intermediate to advanced
442 pages
9h 37m
English
Overview
Embark on a transformative journey into quantum computing tailored to the financial world with this insightful book. You will understand and implement hybrid quantum-classical models to tackle challenges in machine learning, optimization, and more, taking advantage of NISQ hardware's unique capabilities.
What this Book will help me do
- Understand principles of using parameterised quantum circuits for generative modeling on NISQ devices.
- Master techniques for applying quantum algorithms to solve complex optimization problems.
- Gain expertise in quantum-enhanced approaches like quantum boosting for advanced financial applications.
- Learn about implementing cutting-edge algorithms such as variational quantum eigensolver and quantum approximate optimization.
- Apply quantum-enhanced neural networks to real-world problems like credit approval modeling.
Author(s)
Jacquier Antoine and Alexei Kondratyev bring their wealth of expertise in quantum computing and finance to this book. Both authors have professional and academic experiences at the intersection of technology and financial modeling, offering insights into applying complex techniques in practical settings. They aim to bridge the gap between theory and application, empowering readers in an approachable narrative.
Who is it for?
Targeted toward financial quantitative professionals, data scientists, and students of quantitative finance, this book assumes a working knowledge of quantum mechanics and finance but provides clear guidance to apply quantum methodologies. Financial practitioners looking to leverage cutting-edge computing will find this book particularly valuable. Those with a passion for emerging technologies applied to real-world problems will also benefit immensely from its contents.
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