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

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

4 lectures and 2 tutorials each week for 7 weeks.

Optional: basic courses in quantum mechanics, probability theory, information theory, advanced linear algebra

The course is relevant for mathematics, physics students, and computer science students

ECTS
7,5 ECTS
Type of assessment
Oral examination, 20 min
20 minutes per person with 20 min preparation time
Aid

Written aids allowed during preparation and examination.

Marking scale
7-point grading scale
Censorship form
No external censorship
Two internal examiners
Criteria for exam assessment

The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 28
  • Exercises
  • 14
  • Preparation
  • 164
  • Seminar
  • 0
  • English
  • 206