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
24,373 already enrolled
Gain insight into a topic and learn the fundamentals.
194 reviews
Intermediate level
Recommended experience
3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Tools you'll learn
Details to know
Assessments
8 assignments
Taught in English
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There is 1 module in this course
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Showing 3 of 194
MG
Reviewed on Mar 21, 2026
definitely a must-learned course for QEC. Well-designed and lectured
JB
Reviewed on Dec 27, 2024
This course was an outstanding learning experience. A tad more "intermediate" than I expected, but very motivating.
SM
Reviewed on Dec 12, 2024
Brilliant foundational knowledge on quantum error correction.
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