• Fundamentals of quantum computing
• Quantum hardware
• Quantum algorithms
• Quantum programming languages and quantum SDKs (esp. Qiskit)
• Quantum Software Engineering
• Verification of quantum programs
• Quantum Machine Learning
• Quantum Communication
• Post-Quantum Cryptography

After completing this module, students will know the essentials of quantum computing. They are able to describe simple algorithms and implement them in a quantum SDK. They are able to classify current developments in quantum computing and evaluate possible applications of quantum computing.

• Lecture attendance: 28h
• Preparation and wrap-up: 42h
• Exam preparation: 20h
• Total: 90h / 30 = 3 credits

Knowledge of linear algebra recommended.

Monday, 17:30 , 50.34 Room-102, weekly

Exam: 13.02.2022, 17:30 - 19:00 (30.33 Messtechnik-Hörsaal (MTI))

1. Mo 24.10.2022: Introduction(Speaker: Tahoori)
2. Mo 07.11.2022: QC - Basics 1 (Speaker: Müller-Quade)
3. Mo 14.11.2022: QC - Basics 2 (Speaker: Müller-Quade)
4. Mo 21.11.2022: QC - Basics 3 (Speaker: Müller-Quade)
5. Mo 28.11.2022: Introduction Qiskit (Speaker: Oberst (IBM))
6. Mo 05.12.2022: Exercises Qiskit (Speaker: Oberst (IBM))
7. Mo 12.12.2022: Quantum Hardware (Speaker: Wilke)
8. Mo 19.12.2022: Quantum Monkey (Speaker: Sattath)
9. Mo 09.01.2023: Quantum Software (Speaker: Schaefer)
10. Mo 16.01.2023: Quantum Annealing / Quantum Verification (Speaker: Sanders / Beckert)
11. Mo 23.01.2023: Quantum Machine Learning (Speaker: Kühn)
12. Mo 30.01.2023: Quanten Communication (Speaker: Bless)
13. Mo 06.02.2023: Post-Quantum Cryptographie (Speaker: Beskorovajnov)
14. Mo 13.02.2023: Exam
15. XX XX.XX.2023: Excursion Quantum Rechner Ehningen (Speaker: Oberst (IBM))