Course: Fundamentals of Quantum Informatics

« Back
Course title Fundamentals of Quantum Informatics
Course code SLO/ZKIX
Organizational form of instruction Lecture
Level of course Master
Year of study 2
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Lemr Karel, doc. Mgr. Ph.D.
Course content
1. Introduction - Quantum states, Density matrix, Quantum operations. 2. Entangled states, Measures of entanglement, Bell inequality. 3. Preparation of quantum states. 4. Quantum computers - Fundamental concepts, Quantum gates, Quantum circuits. 5. Quantum Fourier transformation, Shor's algorithm. 6. Quantum searching algorithms. 7. Physical implementation of quantum computers. 8. Quantum communication - Quantum teleportation, Quantum cloning. 9. Quantum cryptology. 10. Quantum noise and Information, Decoherence. 11. Quantum Error-Correction.

Learning activities and teaching methods
Lecture
  • Attendace - 26 hours per semester
  • Homework for Teaching - 20 hours per semester
  • Preparation for the Exam - 44 hours per semester
Learning outcomes
Understand the Fundamentals of Quantum Informatics.
Knowledge Description of Quantum Information Systems.
Prerequisites
unspecified

Assessment methods and criteria
Oral exam

Knowledge within the scope of the course topics (examination).
Recommended literature
  • Bouwmeester D., Ekert A.K, Zeilinger A. (2000). The physics of quantum information. Springer.
  • Goong Chen. (2007). Quantum computing devices: principles, designs, and analysis. Chapman & Hall/CRC.
  • Mikio Nakahara, Tetsuo Ohmi. (2008). Quantum Computing: From Linear Algebra to Physical Realizations. Taylor & Francis.
  • Nielsen M.A. , Chuang I.L. (2000). Quantum computation and quantum information. Cambridge University Press, Cambridge.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Physics (2019) Category: Physics courses 2 Recommended year of study:2, Recommended semester: Summer