10 Excel Functions for Data Analysis
April 11, 2024
Article
Instructor: Dr. Austin Fowler
11,474 already enrolled
(74 reviews)
Recommended experience
Intermediate level
1 semester of Python
(74 reviews)
Recommended experience
Intermediate level
1 semester of Python
December 2024
8 assignments
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.
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.
9 videos9 readings8 assignments2 ungraded labs
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
The mission of Google Quantum AI is to build quantum computing for otherwise unsolvable problems.
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University of Maryland, College Park
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74 reviews
71.62%
17.56%
5.40%
1.35%
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Reviewed on Dec 16, 2024
AWESOME COURSE MATERIAL. Wish more and more like this in future which more closer to practical quantum computing applications.
Reviewed on Dec 16, 2024
Very good overview of how error detection works in the quantum world.
Reviewed on Dec 15, 2024
Brilliant course, very easy to understand - profound concepts explained with great clarity
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