402-0461-00L  Quantum Information Theory

SemesterAutumn Semester 2020
LecturersJ. Renes
Periodicityyearly recurring course
Language of instructionEnglish


402-0461-00 VQuantum Information Theory
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Wed11:00-13:00ON LI NE »
Thu14:00-15:00ON LI NE »
J. Renes
402-0461-00 UQuantum Information Theory1 hrs
Thu15:45-16:30HCI J 7 »
15:45-16:30HPV G 5 »
J. Renes

Catalogue data

AbstractThe goal of this course is to introduce the concepts and methods of quantum information theory. It starts with an introduction to the mathematical theory of quantum systems and then discusses the basic information-theoretic aspects of quantum mechanics. Further topics include applications such as quantum cryptography and quantum coding theory.
ObjectiveBy the end of the course students are able to explain the basic mathematical formalism (e.g. states, channels) and the tools (e.g. entropy, distinguishability) of quantum information theory. They are able to adapt and apply these concepts and methods to analytically solve quantum information-processing problems primarily related to communication and cryptography.
ContentMathematical formulation of quantum theory: entanglement, density operators, quantum channels and their representations. Basic tools of quantum information theory: distinguishability of states and channels, formulation as semidefinite programs, entropy and its properties.
Applications of the concepts and tools: communication of classical or quantum information over noisy channels, quantitative uncertainty relations, randomness generation, entanglement distillation, security of quantum cryptography.
Lecture notesDistributed via moodle.
LiteratureNielsen and Chuang, Quantum Information and Computation
Preskill, Lecture Notes on Quantum Computation
Wilde, Quantum Information Theory
Watrous, The Theory of Quantum Information

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits8 credits
ExaminersJ. Renes
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationoral 20 minutes
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

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Offered in

Data Science MasterCore ElectivesWInformation
Physics BachelorSelection of Higher Semester CoursesWInformation
Physics MasterSelection: Theoretical PhysicsWInformation
Quantum Engineering MasterPhysics Core CoursesWInformation
Computational Science and Engineering BachelorAdditional Electives from the Fields of Specialization (CSE Master)WInformation
Computational Science and Engineering MasterPhysicsWInformation