NMAK14020U Quantum Information Theory (QIT)
MSc Programme in Mathematics
MSc Programme in Physics
MSc Programme in Mathematics with a minor subject
MSc Programme in Quantum Information Science
- 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)
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
Academic qualifications equivalent to a BSc degree is recommended.
- Category
- Hours
- Lectures
- 28
- Preparation
- 160
- Exercises
- 14
- Exam
- 4
- Total
- 206
- Credit
- 7,5 ECTS
- Type of assessment
- On-site written exam, 4 hours under invigilation
- Exam registration requirements
5 mandatory homework assignments, each of which must be approved.
- Aid
- Written aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner
- Re-exam
Same as ordinary exam.
If there are 10 or fewer signed up for the reexam, the exam form will be changed to a 30-minute oral exam with no preparation time.
If the compulsary homework assignments have not been passed, the student must (re)submit the non-passed assignments at least three weeks before the start of the re-exam week and pass the assignments.
Criteria for exam assesment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under intended learning outcome.
Course information
- Language
- English
- Course code
- NMAK14020U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 2
- Schedule
- C
- Course capacity
- No limitation – unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Matthias Christandl (10-696e786f797a67746a724673677a6e34717b346a71)
- Freek Gerrit Witteveen (2-75864f7c7083773d7a843d737a)
- Ashutosh Kumar Goswami (3-717b77507d7184783e7b853e747b)