IA077 Advanced Quantum Information Processing

Faculty of Informatics
Spring 2021
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Jozef Gruska, DrSc. (lecturer)
Guaranteed by
prof. RNDr. Jozef Gruska, DrSc.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics
Timetable
Tue 12:00–13:50 Virtuální místnost
Prerequisites
IA066 Quantum Computing - an intro
Prerequisities: course IA066 Introduction to quantum computing or agreement with the lecturer
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 52 fields of study the course is directly associated with, display
Course objectives
To present advanced basic concepts of quantum information processing to such an extend that participants could get involved in research in this area. Lecture should be of interest and importance especially to those with a deeper interest in quantum information processing: projects, diploma thesis, doctarate study.
Learning outcomes
Understanding and ability to use basic terms such as entropy, quantum canals. Understanding and ability to explain fundaments of quantum entangling.
Syllabus
  • Mixed states and density matrices, quantum operations and their representations, projective and POVM measurements and their applications
  • quantum information theory -- entropies, quantum channel capacities
  • quantum entanglement and multipartite quantum entanglement (structure, measures, sharing laws and limitations), quantum error correction and fault-tolerant systems
  • quantum non-locality
  • new paradigms in quantum information processing.
Literature
  • GRUSKA, Jozef. Quantum computing. London: McGraw-Hill Companies, 1999, xv, 439. ISBN 0077095030. info
  • D. W. Cohen. An introduction to Hilbert spaces and quantum logic, Springer-Verlag, 1989
  • Gruska Jozef, Quantum computing, WEB updatings and additions, http://www.mcgraw-hill.co.uk/gruska
Teaching methods
Lectures and self-education.
Assessment methods
Written test and homeworks.
Language of instruction
English
Further Comments
Study Materials
The course is taught once in two years.
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007.
  • Enrolment Statistics (recent)
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