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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

View More author details

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)

Antoine Jacquier

Antoine Jacquier

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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Oleksiy Kondratyev

Oleksiy 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. Oleksiy is a Visiting Professor at the Department of Mathematics, Imperial College London, and a Research Fellow at ADIA Lab. Outside the world of finance and quantum computing, Oleksiy's passion is for sailing, in particular, offshore racing. Oleksiy holds the RYA Yachtmaster Ocean certificate of competence and is a member of the Royal Ocean Racing Club.

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