NMAK14020U Quantum information theory (QIT)
Volume 2014/2015
Education
MSc Programme in Mathematics
MSc Programme in Statistics
MSc Programme in Mathematics-Economics
MSc Programme in Statistics
MSc Programme in Mathematics-Economics
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
Formal requirements
Mandatory: Lineær
Algebra (LinAlg) or equivalent basic course in linear
algebra
Academic qualifications
Optional: basic courses in
quantum mechanics, probability theory, information
theory
Teaching and learning methods
4 lectures and 2 tutorials
each week for 7 weeks.
Remarks
The course is relevant for
mathematics, physics students, and computer science
students
Workload
- Category
- Hours
- Exercises
- 18
- Lectures
- 36
- Preparation
- 150
- Seminar
- 2
- Total
- 206
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Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Oral examinationStudents give presentations (in groups of size 1-3) at the end of the course
about certain topics. 20 minutes per person without preparation time. - Aid
- Only certain aids allowed
The students may bring reports on the topics of the examination.
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
One internal examiner
Criteria for exam assesment
The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.
Course information
- Language
- English
- Course code
- NMAK14020U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 2
- Schedule
- A (Tues 8-12 + Thurs 8-17)
- Course capacity
- No limit
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Course responsibles
- Matthias Christandl (10-686d776e787966736971457266796d33707a336970)
Saved on the
01-12-2014