Quantum Machine Learning and Optimisation in Finance

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