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Home > Mathematics and Science books > Mathematics > Quantum Machine Learning and Optimisation in Finance: Drive financial innovation with quantum-powered algorithms and optimisation strategies
Quantum Machine Learning and Optimisation in Finance: Drive financial innovation with quantum-powered algorithms and optimisation strategies

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


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About the Book

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

Table of Contents:
Table of Contents

  1. The Principles of Quantum Mechanics
  2. Adiabatic Quantum Computing
  3. Quadratic Unconstrained Binary Optimisation
  4. Quantum Boosting
  5. Quantum Boltzmann Machine
  6. Qubits and Quantum Logic Gates
  7. Parameterised Quantum Circuits and Data Encoding
  8. Quantum Neural Network
  9. Quantum Circuit Born Machine
  10. Variational Quantum Eigensolver
  11. Quantum Approximate Optimisation Algorithm
  12. Quantum Kernels and Quantum Two-Sample Test
  13. The Power of Parameterised Quantum Circuits
  14. Advanced QML Models
  15. Beyond NISQ


About the Author :
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.


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Product Details
  • ISBN-13: 9781836209607
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Edition: Revised edition
  • No of Pages: 494
  • ISBN-10: 1836209606
  • Publisher Date: 05 Mar 2025
  • Binding: Digital (delivered electronically)
  • Language: English
  • Sub Title: Drive financial innovation with quantum-powered algorithms and optimisation strategies


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