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Quantum Machine Learning and Optimisation in Finance

You're reading from Quantum Machine Learning and Optimisation in Finance On the Road to Quantum Advantage

Product type Paperback

Published in Oct 2022

Publisher Packt

ISBN-13 9781801813570

Length 442 pages

Edition 1st Edition

Concepts

Machine Learning

Authors (2):

Alexei Kondratyev

Jacquier Antoine

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Table of Contents (4) Chapters

Preface

1. Chapter 1: The Principles of Quantum Mechanics FREE CHAPTER

2. Part I: Analog Quantum Computing – Quantum Annealing

3. Part II: Gate Model Quantum Computing

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Quantum Machine Learning and Optimisation in Finance

Published in: Oct 2022

Publisher: Packt

ISBN-13: 9781801813570

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Authors (2)

Jacquier Antoine

Jacquier Antoine

Antoine Jacquier obtained his PhD in 2010 in Mathematics from Imperial College London, where his research was focused on large deviations and asymptotic methods for stochastic volatility. Over the past 10 years, he has been working on stochastic analysis and volatility modelling, publishing about 50 papers and co-writing several books. He is also the Head of the MSc in Mathematics and Finance at Imperial College and regularly works as a quantitative consultant for the Finance industry.

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Alexei Kondratyev

Alexei Kondratyev

Oleksiy Kondratyev obtained his PhD in Mathematical Physics from the Institute for Mathematics, National Academy of Sciences of Ukraine, where his research was focused on studying phase transitions in quantum lattice systems. Oleksiy has over 20 years of quantitative finance experience, primarily in banking. He was recognised as Quant of the Year 2019 by Risk magazine and joined Abu Dhabi Investment Authority as a Quantitative Research & Development Lead in the summer of 2021.

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