Jacquier / Kondratyev Quantum Machine Learning and Optimisation in Finance

Drive financial innovation with quantum-powered algorithms and optimisation strategies
2. Auflage 2025
ISBN: 978-1-83620-960-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 494 Seiten

No detailed description available for "Quantum Machine Learning and Optimisation in Finance".

Autoren/Hrsg.

Jacquier, Antoine

Kondratyev, Oleksiy

Weitere Mitwirkende

Lipton, Alexander

Prado, Marcos López de

Fachgebiete

• Mathematik | Informatik Mathematik Mathematik Allgemein

Über Autor(innen)

Jacquier Antoine :

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.Kondratyev Oleksiy :

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.