Summary
In this chapter, you learned about the concept of machine learning and the various algorithms that hold importance in industries today. Then, we looked into the concepts of quantum machine learning and how it is different from classical machine learning. During the discussion of quantum machine learning, you learned about various encoding schemes, kernel-based quantum models, the quantum K-means algorithm, and variational circuits. Finally, we discussed the latest goings-on in the field of quantum computing, with some resources for you to keep yourself up to date on the latest developments in the field of quantum computing.
Heartiest congratulations to you as you have reached the end of this chapter and this book! We hope that you have gained some valuable knowledge in the new high-level quantum programming language Silq and that you will be able to apply that knowledge in your own research and make interesting quantum projects and applications.
We hope that you have...