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.
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该课程共有1个模块
By the end of this course, you'll have implemented the surface code, a leading error correcting code in quantum computing. Additionally, you'll have used our library Stim to simulate your code many times, and used the results to estimate the theoretical hardware error rate required to achieve robust error correction.
涵盖的内容
9个视频9篇阅读材料8个作业2个非评分实验室
位教师
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状态：预览Fractal Analytics
状态：预览University of Maryland, College Park
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学生评论
146 条评论
- 5 stars
72.60%
- 4 stars
18.49%
- 3 stars
4.79%
- 2 stars
0.68%
- 1 star
3.42%
显示 3/146 个
已于 Dec 12, 2024审阅
Brilliant foundational knowledge on quantum error correction.
已于 Jul 18, 2025审阅
An eye opening topic. The lectures require further research on my own but overall, the coverage is great.
已于 Dec 16, 2024审阅
AWESOME COURSE MATERIAL. Wish more and more like this in future which more closer to practical quantum computing applications.
常见问题
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