Quantum Machine learning is an emerging field of research, with fast growth. This research field is largely driven by the desire to develop artificial intelligence that uses quantum technologies to improve the speed and performance of learning algorithms. In this talk, I will start by giving a brief introduction to the field of Quantum Machine Learning showing different types of interactions between machine learning and quantum computing and information. I will then illustrate these interactions by discussing quantum extensions of linear regression and perceptron algorithms. The talk is based on the papers https://arxiv.org/abs/2007.00935 and https://arxiv.org/abs/2106.02496.
