NMAK14020U  Quantum Information Theory (QIT)

Volume 2017/2018
Education

MSc Programme in Mathematics

MSc Programme in Physics

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)
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
Bachelor in Mathematics, Physics or Computer Science
4 lectures and 2 tutorials each week for 7 weeks.
Credit
7,5 ECTS
Type of assessment
Oral examination, 20 min
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 and examination.

Marking scale
7-point grading scale
Censorship form
No external censorship
Two internal examiners.
Re-exam

Same as ordinary exam. If the compulsary homework assignments have not been passed, the student must hand in the non-passed assignments at least two weeks before the beginning of the re-exam week. If they pass the student can go to the re-exam.

Criteria for exam assesment

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

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