Quantum Information Theory (QIT)

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.

Written

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.

The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.

Single subject courses (day)

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

Saved on the 25-08-2023

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