Quantum Machine Learning: Benefits and Practical Examples

A quantum computer that is useful in practice, is expected to be developed in the next few years. An important application is expected to be machine learning, where benefits are expected on run time, capacity and learning efficiency. In this paper, these benefits are presented and for each benefit an example application is presented. A quantum hybrid Helmholtz machine use quantum sampling to improve run time, a quantum Hopfield neural network shows an improved capacity and a variational quantum circuit based neural network is expected to deliver a higher learning efficiency.