Quantum machine learning and optimisation in finance on the road to quantum advantage

Learn the principles of quantum machine learning and how to apply them in finance. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Discover how to solve optimisation problems on quantum computers that can provide a speedup edge over classical methods Use me...

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Detalles Bibliográficos
Otros Autores: Jacquier, Antoine, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing, Limited [2022]
Edición:1st ed
Colección:Expert insight.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009701333906719
Tabla de Contenidos:
  • Cover
  • Copyright
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: The Principles of Quantum Mechanics
  • Part I
  • Chapter 2: Adiabatic Quantum Computing
  • Chapter 3: Quadratic Unconstrained Binary Optimisation
  • Chapter 4: Quantum Boosting
  • Chapter 5: Quantum Boltzmann Machine
  • Part II
  • Chapter 6: Qubits and Quantum Logic Gates
  • Chapter 7: Parameterised Quantum Circuits and Data Encoding
  • Chapter 8: Quantum Neural Network
  • Chapter 9: Quantum Neural Network
  • Chapter 10: Variational Quantum Eigensolver
  • Chapter 11: Quantum Approximate Optimisation Algorithm
  • Chapter 12: The Power of Parameterised Quantum Circuits
  • Chapter 13: Looking Ahead
  • Index
  • Other Books You Might Enjoy
  • Packt Page.