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059911 LP Quantum Computing Applications (2024W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Fr 13.09.2024 09:00 to Fr 20.09.2024 09:00
- Deregistration possible until Mo 14.10.2024 23:59
Details
max. 15 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
The event will be blocked.
- Thursday 10.10. 11:30 - 14:45 Seminarraum 11, Währinger Straße 29 2.OG (Kickoff Class)
- Thursday 17.10. 11:30 - 14:45 Seminarraum 11, Währinger Straße 29 2.OG
- Thursday 24.10. 11:30 - 14:45 Seminarraum 11, Währinger Straße 29 2.OG
- Thursday 14.11. 11:30 - 14:45 Seminarraum 11, Währinger Straße 29 2.OG
- Thursday 28.11. 11:30 - 14:45 Seminarraum 11, Währinger Straße 29 2.OG
- Thursday 12.12. 11:30 - 14:45 Seminarraum 11, Währinger Straße 29 2.OG
- Thursday 16.01. 11:30 - 14:45 Seminarraum 11, Währinger Straße 29 2.OG
Information
Aims, contents and method of the course
in the framework of the newly established Teaching Quantum Informatics Lab TEQUILA, in this lab course students will build fundamental quantum algorithms (including quantum teleportation, dense coding, Deutsch-Jozsa, BB84, Shor) hands-on, using several Educational Kits. The resulting emulated quantum circuits will be studied and evaluated in detail which will contribute to a deeper understanding of quantum computing basics. A specific focus is put towards algorithms in the context of Quantum Security.The lab course aims particularly at Bachelor and Master students in computer science, physics and mathematics.Some basic knowledge from finishing the StEOP lectures TGI and MG1 (linear algebra) for computer science students and for physics and mathematics students in linear algebra is assumed. Having the T3 (QM) for physics students is beneficial.
Assessment and permitted materials
Lab procotols, reports, short presentation, participation.
Minimum requirements and assessment criteria
Positive evaluation of the tasks.Marx:
sehr gut: > 80% der Punkte
gut: > 70% der Punkte
befriedigend: > 60% der Punkte
genügend: > 50% der Punkte
gerade noch genügend: 50% der Punkte
ungenügend: < 50% der Punkte
sehr gut: > 80% der Punkte
gut: > 70% der Punkte
befriedigend: > 60% der Punkte
genügend: > 50% der Punkte
gerade noch genügend: 50% der Punkte
ungenügend: < 50% der Punkte
Examination topics
Will be announced during the course.
Reading list
M. Homeister: Quantencomputing verstehen, 5. Auflage, Springer 2018.
M. Nielsen, I. Chuang: Quantum Computation and Quantum Information, 10th Anniversary Edition, Cambridge University Press, 2010.
Noson S. Yanofsky, Mirco A. Mannucci: Quantum Computing for Computer Scientists. 5. Auflage, Cambridge University Press, 2019.
Further reading will be announced during the course.
M. Nielsen, I. Chuang: Quantum Computation and Quantum Information, 10th Anniversary Edition, Cambridge University Press, 2010.
Noson S. Yanofsky, Mirco A. Mannucci: Quantum Computing for Computer Scientists. 5. Auflage, Cambridge University Press, 2019.
Further reading will be announced during the course.
Association in the course directory
Last modified: Th 19.09.2024 14:45