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)
MSc Programme in Mathematics
MSc Programme in Physics
MSc Programme in Mathematics with a minor subject
MSc Programme in Quantum Information Science
- 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
4 lectures and 2 tutorials each week for 7 weeks.
Bachelor in Mathematics, Physics or Computer Science
Academic qualifications equivalent to a BSc degree is
recommended.
- ECTS
- 7,5 ECTS
- Type of assessment
-
Oral examination, 20 min
- Type of assessment details
- 20 minutes per person with 20 minutes preparation time.
- Exam registration requirements
-
6 mandatory homework assignments, each of which must be passed.
- 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.
- Re-exam
-
Same as ordinary exam. If the compulsary homework assignments have not been passed, the student must (re)submit the non-passed assignments. The assignments must be approved three weeks before the beginning of the re-exam week.
Criteria for exam assessment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.
Single subject courses (day)
- 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 Coordinators
- Matthias Christandl (10-666b756c76776471676f437064776b316e7831676e)
- Freek Gerrit Witteveen (2-697a437064776b316e7831676e)
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