Course in Machine Learning (Classical and Quantum)

This class will cover the basic concepts of quantum machine learning, together with examples of the problems in a
computer. I will use QIBO for it.

Contents:

4.1 Kernels in quantum machine learning
  4.1.1 Discrete Logarithm Problem and quantum advantage
  4.1.2 Variational kernel-based quantum machine learning
4.2 Data re-uploading for quantum machine learning
4.3 Generative modeling for quantum machine learning
  4.3.1 Quantum-circuit Born machines
  4.3.2 Quantum Boltzmann machines