Quantum Machine Learning – Hacker Noon

Sound extremely intimidating and I have to admit all those words together are pretty scary so I wouldn't put it past you if you run away. For those you who are sticking through the whole article (stay strong), I am going to break down and explain this new field in quick steps. My focus is specifically on quantum support vector machines (SVM's) but there are many other algorithms you can learn about:) Hopefully by the end of this article I will have helped you understand why quantum machine learning will help us tackle extremely hard problems. There are three different areas of machine learning: supervised, unsupervised and reinforcement. In this article we will look into specifically supervised learning, support vector machines fall under this category. Supervised learning uses a set of labeled data to train a machine learning algorithm to understand a specific task such as classifying between two different objects (cats vs. dogs).