Thesis supervisor: Milán Mosonyi
Location of studies (in Hungarian): Department of Analysis, Institute of Mathematics, BME Abbreviation of location of studies: BME
Description of the research topic:
Quantum Information Theory is one of the most active research fields in present days, thanks partly to its great technological promises (quantum computer, unconditionally secure communication, ultra-precise metrology) and to the host of exciting problems it poses in Mathematics, Physics, and Computer Science. The candidate's task will be to work on problems at the mathematical/statistical foundations of Quantum Information Theory. The aim of the project is to identify the ultimate theoretical limits of the performance of coding strategies in various problems, like source compression, channel coding and hypothesis testing, by finding explicit descriptions of the exact trade-off curves between the competing quantities characterizing each problem, and linking them to measures of information, correlation, and dissimilarity of quantum states. An important part of the project is the study of various information quantities by the help of matrix analysis and other mathematical tools.
Required language skills: English Further requirements: The ideal candidate should have a solid background in mathematics. Prior experience (specialized courses, students projects, etc.) in any of the following fields is an advantage, though not necessary: Matrix analysis, functional analysis, operator al
Number of students who can be accepted: 1
Deadline for application: 2018-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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