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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学生评论
161 条评论
- 5 stars
72.72%
- 4 stars
18.18%
- 3 stars
4.24%
- 2 stars
0.60%
- 1 star
4.24%
显示 3/161 个
已于 Dec 12, 2024审阅
Brilliant foundational knowledge on quantum error correction.
已于 Dec 16, 2024审阅
Very good overview of how error detection works in the quantum world.
已于 Dec 10, 2024审阅
Excellent overall exposure to people new to quantum technology. Maybe online Stim and Crumble console would help learn and try as download and trying offline may not be a first choice for new learners
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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