Kursussøgning, efter- og videreuddannelse – Københavns Universitet

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Kursussøgning, efter- og videreuddannelse

Quantum Information Theory (QIT)

Practical information
Study year 2016/2017
Block 2
Programme level Ph.D.
Course responsible
  • Matthias Christandl (10-6b707a717b7c69766c744875697c7036737d366c73)
  • Department of Mathematical Sciences
Course number: NSCPHD1022

Course content


PLEASE NOTE         

The PhD course database is under construction. If you want to sign up for this course, please click on the link in order to be re-directed. Link: https://phdcourses.ku.dk/nat.aspx


  • 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


Recommended prerequisites

Mandatory: LinAlg or equivalent basic course in linear algebra
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

Sign up

Please register at: christandl@math.ku.dk


Natural Sciences PhD Committee

Course type

Single subject courses (day)


1 block


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Teaching and learning methods

4 lectures and 2 tutorials each week for 7 weeks.


No limit




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


Type of assessment

Oral examination, 20 min
20 minutes per person with 20 min preparation time


Written aids allowed

Marking scale

7-point grading scale

Criteria for exam assessment

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

Censorship form

No external censorship
Two internal examiners


Same as ordinary exam. If the compulsary home work 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. 

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