NMAK14020U Quantum Information Theory (QIT)

Volume 2024/2025
Education

MSc Programme in Mathematics

MSc Programme in Physics

MSc Programme in Mathematics with a minor subject

MSc Programme in Quantum Information Science

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

Academic qualifications equivalent to a BSc degree is recommended.
4 lectures and 2 tutorials each week for 7 weeks.
  • 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.