Undergraduate practice
Course: Quantum computers, computing and information
Structural unit: Faculty of Physics
Title
Undergraduate practice
Code
ОК19
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
6
Learning outcomes
The result of training are mastering the principles and techniques of scientific research, solving non-standard, creative, complex problems, mastering modern instrumental methods for scientific and engineering calculations, consolidation of theoretical knowledge and practical skills.
Form of study
Full-time form
Prerequisites and co-requisites
Successful mastering of the disciplines of the curriculum of the educational program "Quantum Computers, Computing and Information" in the specialty "104. Physics and Astronomy".
Course content
Undergraduate practice is an integral part of the educational and professional training program at the educational qualification level "Master" in the field of knowledge "10. Natural Sciences" specialty "104. Physics and Astronomy". The practice is carried out with the involvement of leading scientists and the relevant material and technical base of the university and relevant scientific institutions of physical profile.
The content and nature of undergraduate practice is determined by the theme of the master's thesis. The practice is conducted without separation from theoretical training throughout the semester, under the guidance of the supervisor and under the supervision of the curator and the profile department. Much attention is paid to the independent work of students. At the end of the practice, a report is prepared and approved by the supervisor and the profile department.
Recommended or required reading and other learning resources/tools
1. Mario Krenn, Mehul Malik, Thomas Scheidl, Rupert Ursin, Anton Zeilinger. Quantum communication with photons (англ.) // Optics in Our Time. — 2016. — P. 455–482.
2. R.J. Lipton, K.W. Regan: Quantum Algorithms via Linear Algebra: A Primer. MIT Press, Cambridge MA.
3. R.F. Werner: Quantum Information Theory - an Invitation. In: Quantum Information – An Introduction to Basic Theoretical Concepts and Experiments. Springer.
4. C.P. Williams: Explorations in Quantum Computing. 2. Auflage. Springer-Verlag, London.
Planned learning activities and teaching methods
Independent work - 180 hours.
Assessment methods and criteria
The control is carried out according to the modular rating system using a 100-point scale. In determining the assessment takes into account:
[1] review of the supervisor (supervisor) - up to 20 points;
[2] submitted written report - up to 30 points;
[3] oral presentation - up to 30 points;
[4] answers to questions and the ability to conduct a scientific discussion - up to 20 points.
The final score is the sum of points for all points (up to 100 points).
Students are allowed to defend the practice if they have:
[1] Feedback from the supervisor (supervisor).
[2] Availability of a written report prepared in accordance with applicable requirements.
[3] Availability of a presentation or materials for an oral presentation.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline