FI:IA066 Quantum Computing - an intro - Course Information

IA066 Introduction to Quantum Computing

Extent and Intensity

2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).

Teacher(s)

prof. RNDr. Jozef Gruska, DrSc. (lecturer), Martin Saip (deputy)

Guaranteed by

prof. RNDr. Jozef Gruska, DrSc.
Department of Computer Science – Faculty of Informatics
Contact Person: prof. RNDr. Jozef Gruska, DrSc.
Supplier department: Department of Computer Science – Faculty of Informatics

Timetable

Wed 14:00–15:50 B411

• Timetable of Seminar Groups:

IA066/01: Thu 14:00–15:50 B116

Prerequisites

MB003 Linear Algebra and Geometry I && ( IB005 Formal languages and Automata || IB102 Automata and Grammars )
linear algebra, automata and languages, no quantum physics is necessary

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

• Image Processing and Analysis (programme FI, N-VIZ)
• Applied Informatics (programme FI, N-AP)
• Information Technology Security (eng.) (programme FI, N-IN)
• Information Technology Security (programme FI, N-IN)
• Bioinformatics and systems biology (programme FI, N-UIZD)
• Bioinformatics (programme FI, N-AP)
• Computer Games Development (programme FI, N-VIZ_A)
• Computer Graphics and Visualisation (programme FI, N-VIZ_A)
• Computer Networks and Communications (programme FI, N-PSKB_A)
• Cybersecurity Management (programme FI, N-RSSS_A)
• Formal analysis of computer systems (programme FI, N-TEI)
• Graphic design (programme FI, N-VIZ)
• Graphic Design (programme FI, N-VIZ_A)
• Hardware Systems (programme FI, N-PSKB_A)
• Hardware systems (programme FI, N-PSKB)
• Image Processing and Analysis (programme FI, N-VIZ_A)
• Information security (programme FI, N-PSKB)
• Information Systems (programme FI, N-IN)
• Informatics (eng.) (programme FI, D-IN4)
• Informatics (programme FI, D-IN4)
• Informatics (programme FI, M-IN)
• Informatics (programme FI, N-IN)
• Information Security (programme FI, N-PSKB_A)
• Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
• Mathematical Informatics (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, N-IN)
• Computer graphics and visualisation (programme FI, N-VIZ)
• Computer Graphics (programme FI, N-IN)
• Computer Networks and Communication (programme FI, N-IN)
• Computer Networks and Communications (programme FI, N-PSKB)
• Computer Systems and Technologies (eng.) (programme FI, D-IN4)
• Computer Systems and Technologies (programme FI, D-IN4)
• Computer Systems (programme FI, N-IN)
• Principles of programming languages (programme FI, N-TEI)
• Embedded Systems (eng.) (programme FI, N-IN)
• Embedded Systems (programme FI, N-IN)
• Cybersecurity management (programme FI, N-RSSS)
• Services development management (programme FI, N-RSSS)
• Software Systems Development Management (programme FI, N-RSSS)
• Services Development Management (programme FI, N-RSSS_A)
• Service Science, Management and Engineering (eng.) (programme FI, N-AP)
• Service Science, Management and Engineering (programme FI, N-AP)
• Social Informatics (programme FI, B-AP)
• Software Systems Development Management (programme FI, N-RSSS_A)
• Software Systems (programme FI, N-PSKB_A)
• Software systems (programme FI, N-PSKB)
• Machine learning and artificial intelligence (programme FI, N-UIZD)
• Theoretical Informatics (programme FI, N-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
• Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
• Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
• Computer Games Development (programme FI, N-VIZ)
• Processing and analysis of large-scale data (programme FI, N-UIZD)
• Image Processing (programme FI, N-AP)
• Natural language processing (programme FI, N-UIZD)

Course objectives

Quantum computing in particular and quantum information processing in general are one of the hotest subjects in science in general and in informatics in particular. The goal of this introductory course is to present basic aims, concepts, methods and result in this fascinating area.

Learning outcomes

After completing the course student will be able: to understand principles of the design of quantum algorithms; to understand basic ideas of Shor's and Grover's algorithms; to design simple quantum circuits; to understand recognition power of several quantum automata; to understand basic principles of quantum cryptography; to design quantum error-correcting codes.

Syllabus

• Motivácie, historia, základné kvantové experimenty, ohraničenia a paradoxy kvantového spracovania informácie
• Hilbertové priestory, kvantové bity, registre, hradla a obvody
• kvantové výpočtové primitíva
• kvantové entanglovanie a nelokálnost
• jednoduché kvantové algoritmy, Shorove kvantové algoritmy, algoritmus Grovera a jeho aplikácie
• kvantové konečné automaty
• kvantové samoopravujúce kody a kvantové fault-tolerantné hradla.
• kvantová krzptografia
• vesmír ako kvantový systém

Literature

• GRUSKA, Jozef. Quantum computing. London: McGraw-Hill Companies, 1999, xv, 439. ISBN 0077095030. info

Teaching methods

Lectures

Assessment methods

oral exam

Language of instruction

Slovak

Follow-Up Courses

• IA077 Advanced Quantum Information Processing

Further Comments

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/usr/gruska/quantum16

• Enrolment Statistics (Autumn 2019, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2019/IA066