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
Instructeur : Dr. Austin Fowler
11 814 déjà inscrits
(74 avis)
Expérience recommandée
Détails à connaître
décembre 2024
8 devoirs
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Il y a un module dans ce cours
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.
Inclus
9 vidéos9 lectures8 devoirs2 laboratoires non notés
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Algorithms
Fractal Analytics
University of Maryland, College Park
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74 avis
- 5 stars
71,62 %
- 4 stars
17,56 %
- 3 stars
5,40 %
- 2 stars
1,35 %
- 1 star
4,05 %
Affichage de 3 sur 74
Révisé le 17 déc. 2024
Very good overview of how error detection works in the quantum world.
Révisé le 17 déc. 2024
AWESOME COURSE MATERIAL. Wish more and more like this in future which more closer to practical quantum computing applications.
Révisé le 16 déc. 2024
Brilliant course, very easy to understand - profound concepts explained with great clarity
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