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
Dozent: Dr. Austin Fowler
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(18 Bewertungen)
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Kompetenzen, die Sie erwerben
- Kategorie: Quantum Computing
- Kategorie: Quantum Information Sciences
- Kategorie: Quantum Physics
Wichtige Details
Dezember 2024
8 Aufgaben
Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.
In diesem Kurs gibt es 1 Modul
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.
Das ist alles enthalten
9 Videos9 Lektüren8 Aufgaben2 Unbewertete Labore
Dozent
Empfohlen, wenn Sie sich für Algorithms interessieren
Johns Hopkins University
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Bewertungen von Lernenden
18 Bewertungen
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- 4 stars
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Zeigt 3 von 18 an
Geprüft am 10. Dez. 2024
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
Geprüft am 16. Dez. 2024
AWESOME COURSE MATERIAL. Wish more and more like this in future which more closer to practical quantum computing applications.
Geprüft am 15. Dez. 2024
Brilliant course, very easy to understand - profound concepts explained with great clarity
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