NSCPHD1022 Quantum information theory (QIT)
Volume 2014/2015
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
Academic qualifications
Mandatory: LinAlg or
equivalent basic course in linear algebra
Optional: basic courses in quantum mechanics, probability theory, information theory
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
Sign up
Please register at: solovej@math.ku.dk
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
- NSCPHD1022
- Credit
- 7,5 ECTS
- Level
- Ph.D.
- Duration
- 1 block
- Placement
- Block 2
- Schedule
- A (Tues 8-12 + Thurs 8-17)
- Course capacity
- No limit
- Study board
- Natural Sciences PhD Committee
Contracting department
- Department of Mathematical Sciences
Course responsibles
- Jan Philip Solovej (7-777370737a696e447165786c326f7932686f)
Lecturers
Matthias Christiandl
Saved on the
02-02-2015