Dr.Thyagaraju G S and Palguni G T (Source : Google and Open AI)

Contents

1. Introduction to quantum machine learning
2. Quantum algorithms for machine learning
3. Quantum Principal Component Analysis (PCA)
4. Quantum k-Nearest Neighbors (k-NN)
5. Quantum Support Vector Machines (SVM)
6. Quantum Boltzmann Machines
7. Quantum Generative Adversarial Networks (GANs)
8. Quantum recommendation systems
9. Quantum neural networks
10. Quantum clustering algorithms
11. Quantum anomaly detection
12. Quantum data preprocessing and feature engineering
13. Quantum variational algorithms
14. Quantum reinforcement learning
15. Quantum natural language processing