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

MSc Programme in Physics

MSc Programme in Mathematics with a minor subject

MSc Programme in Quantum Information Science

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.

Bachelor in Mathematics, Physics or Computer Science

Academic qualifications equivalent to a BSc degree is recommended.

ECTS
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 assessment

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

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 28
  • Preparation
  • 160
  • Exercises
  • 14
  • Exam
  • 4
  • English
  • 206

Kursusinformation

Language
English
Course number
NMAK14020U
ECTS
7,5 ECTS
Programme level
Full Degree Master
Duration

1 block

Placement
Block 2
Schedulegroup
C
Capacity
No limitation – unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
Studyboard
Study Board of Mathematics and Computer Science
Contracting department
  • Department of Mathematical Sciences
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Matthias Christandl   (10-6e737d747e7f6c796f774b786c7f73397680396f76)
Saved on the 14-02-2024

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