Kursussøgning, efter- og videreuddannelse – Københavns Universitet

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Kursussøgning, efter- og videreuddannelse

Quantum Information Theory (QIT)

Practical information
Study year 2016/2017
Time
Block 2
Programme level Ph.D.
ECTS 7,5 ECTS
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

Remarks

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

Sign up

Please register at: christandl@math.ku.dk

Studyboard

Natural Sciences PhD Committee

Course type

Single subject courses (day)

Duration

1 block

Schedulegroup

A
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Teaching and learning methods

4 lectures and 2 tutorials each week for 7 weeks.

Capacity

No limit

Language

English

Workload

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

Exam

Type of assessment

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

Aid

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

Re-exam

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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