Description
Hands-on quantum error correction with Google Quantum AI is a course published by Coursera Academy. It is intended for first-year undergraduates to experienced researchers who are looking for a general overview of quantum computing and a more detailed understanding of quantum error correction, with a particular focus on the type of quantum error correction successfully demonstrated at Google in 2024. Questions and projects are provided to build familiarity with the theory and software tools used in the field. The course begins with an overview of various quantum computing technologies, followed by detailed sections on quantum states and circuits, quantum errors and error detection, the mathematical formalism of stabilizers and surface code, and finally the software tools Stim and Crumble, both of which are actively used by researchers in the field.
What you will learn
- By the end of this course, you will have implemented the Surface Code, a leading error correction code in quantum computing. In addition, you will have used our Stim library to simulate your code repeatedly and used the results to estimate the theoretical hardware error rate required to achieve strong error correction.
Course details
- Publisher: Coursera
- Instructor: Dr. Austin Fowler
- Language: English
- Education level: Intermediate
- Number of lessons: 1
- Training duration: 3 weeks, including 9 hours of work per week
Course topics: Hands-on quantum error correction with Google Quantum AI
Course prerequisites
- 1 semester of Python
Pictures
Sample video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
