Tackling the World’s Hardest Problems Using Quantum Machine Learning

Utilizing Support Vector Machine algorithms on quantum computers for advantageous classification of data and solving complex problems.

Quantum…Machine…Learning???

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.

In this article, you’ll learn about:

• What is classical machine learning and it’s limitations
• Introduction of quantum computing and why it’s important to help accelerate ML
• How quantum SVM’s work
• My personal project and code

Classical Machine Learning: