This course is aimed at first year undergraduates to experienced researchers looking for an overview of quantum computing and a more detailed understanding of quantum error correction, with specific focus on the type of quantum error correction successfully demonstrated in 2024 at Google. Questions and projects are provided to build familiarity with the theory and software tools used in the field. The course starts 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 the surface code, and finally the software tools Stim and Crumble, both of which are actively used by researchers in the field.
Hands-on quantum error correction with Google Quantum AI
Hands-on quantum error correction with Google Quantum AI
Instructor: Dr. Austin Fowler
Access provided by HKUST
23,008 already enrolled
Gain insight into a topic and learn the fundamentals.
180 reviews
Intermediate level
Recommended experience
3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Details to know
Assessments
8 assignments
Taught in English
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There is 1 module in this course
Instructor
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Showing 3 of 180
MF
Reviewed on Sep 3, 2025
Excellent course, but it should be rated advanced and not intermediate. Some of the questions on exam require knowledge outside of the course not covered in lecture videos.
SM
Reviewed on Dec 12, 2024
Brilliant foundational knowledge on quantum error correction.
AC
Reviewed on Dec 14, 2024
The fundamental principles of quantum error correction (QEC) are presented with remarkable clarity and precision. Let's hope for a future module on "Magic state cultivation" as a Christmas gift ;)
