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

Contributor(s): Jacquier, Antoine (Author), Kondratyev, Oleksiy (Author), Lipton, Alexander (Foreword by)

ISBN: 9781836209614

Publisher: Packt Publishing

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Pub Date: December 31, 2024

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.99" H x 9.25" L x 7.50" W ( 1.85 lbs) 494 pages

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Description:

In this book, you'll learn the principles of quantum computing and machine learning, focusing on practical algorithms for NISQ systems.

Brief description: Antoine Jacquier graduated from ESSEC Business School before obtaining a PhD in mathematics from Imperial College London. His research focuses on stochastic analysis, asymptotic methods in probability, volatility modelling, and algorithms in quantum computing. He has published about 50 papers and has co-written several books. He is also the director of the MSc in mathematics and finance at Imperial College and regularly works as a quantitative consultant for the finance industry. He has a keen interest in running and whisky.

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