Jacquier, Antoine

Quantum Machine Learning and Optimisation in Finance - Second Edition: Drive financial innovation with quantum-powered algorithms and optimisation str

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ISBN 13:: 9781836209614
author:: Jacquier, Antoine
format:: Paperback
publisher:: Packt Publishing
language:: English
Publication Year:: 2024
Pages:: 494
Dimensions:: 23.5 x 19.1 x 2.5 centimetres (0
Genre:: Business, Operations, Operations Research,
Condition:: New
Availability:: Item usually sent within 5 working days

£40.03

Current Stock: 5

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Description

Description

Discover how quantum machine learning and optimisation are driving financial innovation with powerful algorithms and strategies. This book provides a detailed introduction to quantum computing and its applications in finance, focusing on hands-on near-term applications for tackling real-world challenges. You'll learn about major quantum machine learning algorithms that have been widely studied for their transformative potential in finance, as well as hybrid quantum-classical computational protocols that leverage both quantum and classical computing systems. The authors offer a balanced view of both analog and digital quantum computers, delving into the fundamental characteristics of the algorithms while highlighting the practical limitations of today's quantum hardware. With a focus on NISQ systems, this book bridges the gap between theoretical approaches and practical applications, making it an essential resource for professionals looking to apply quantum machine learning in finance.

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