Overview
This course provides an overview of several approaches to quantum diagonalization. Some background is provided on the classical methods that are used, or that motivated the quantum algorithms. The content then steps through the implementation of the quantum algorithms on real quantum computers. There is substantial discussion of what factors determine the scaling of approaches using classical and quantum algorithms.
Recommended background
This course is intended for individuals who have some experience with quantum computing and want to leverage its power in matrix diagonalization.
We recommend that learners complete the following prerequisites prior to this course:
- Set up your local environment by following along with the Get started guide in our documentation page.
- For deeper understanding of quantum information, try Basics of Quantum Information with John Watrous.
Exam
To earn your badge for Quantum diagonalization algorithms, take the exam at IBM Training. This exam is intended to be taken after reading the lessons in this course. After you pass the exam, you will be notified by Credly that you have earned a badge.
Awarded Badge
Credly
IBM leverages the services of Credly, a third-party data processor authorized by IBM and located in the United States, to assist in the administration of the IBM Digital Badge program. In order to issue you an IBM Digital Badge, your personal information (name, email address, and badge earned) will be shared with Credly.