Quantum Information Theory (QIT)
Course content
- Review of Probability Theory and Classical Information Theory (Random Variables, Shannon Entropy, Coding)
- Formalism of Quantum Information Theory (Quantum States, Density Matrices, Quantum Channels, Measurement)
- Quantum versus Classical Correlations (Entanglement, Bell inequalities, Tsirelson's bound)
- Basic Tools (Distance Measures, Fidelity, Quantum Entropy)
- Basic Results (Quantum Teleportation, Quantum Error Correction, Schumacher Data Compression)
- Quantum Resource Theory (Quantum Coding Theory, Entanglement Theory, Application: Quantum Cryptography)
Education
MSc Programme in Mathematics
MSc Programme in Physics
MSc Programme in Mathematics with a minor subject
MSc Programme in Quantum Information Science
Learning outcome
- Knowledge: The student will have become familiar with the mathematical formalism of quantum information theory and will have learned about the most fundamental results of the subject.
- Skills: The student will be able to apply the learned knowledge in new situations and will be able to apply the abstract results in concrete examples.
- Competences: The student will have a sound all-round understanding of the subject
Teaching and learning methods
4 lectures and 2 tutorials each week for 7 weeks.
Recommended prerequisites
Bachelor in Mathematics, Physics or Computer Science
Academic qualifications equivalent to a BSc degree is
recommended.
Feedback form
Written
Exam
- ECTS
- 7,5 ECTS
- Type of assessment
-
Oral examination, 20 min
- Type of assessment details
- 20 minutes per person with 20 minutes preparation time.
- Aid
- Written aids allowed
Written aids allowed during preparation and examination.
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners.
Criteria for exam assessment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.
Course type
Single subject courses (day)
Workload
- Category
- Hours
- Lectures
- 28
- Preparation
- 163
- Exercises
- 14
- Exam
- 1
- English
- 206
Kursusinformation
- Language
- English
- Course number
- NMAK14020U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 block
- Placement
- Block 2
- Schedulegroup
-
C
- Capacity
- No limit
The number of seats may be reduced in the late registration period - Studyboard
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinator
- Matthias Christandl (10-6d727c737d7e6b786e764a776b7e7238757f386e75)
Saved on the
28-02-2023
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Courseinformation of students
Courseinformation of students