Introduction to quantum computer science

Course: Physics

Structural unit: Faculty of Physics

Title
Introduction to quantum computer science
Code
ВК1
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
5 Semester
Number of ECTS credits allocated
3
Learning outcomes
The learning outcomes are to study additional sections of modern quantum theory related to applied and theoretical aspects of quantum computer science (Deutsch's algorithm, Bell states, quantum state teleportation).
Form of study
Full-time form
Prerequisites and co-requisites
Know the basic principles of linear algebra, probability theory and mathematical statistics and quantum mechanics. In particular, to know the principle of quantum superposition of states, the basic properties of unitary operators and the density operator. Be able to apply previous knowledge from the course of mathematical analysis to reveal some types of uncertainties. Have the skills to calculate eigenvalues and eigenvectors of matrices and algebraic operations with matrices.
Course content
The normative discipline "Introduction to Quantum Informatics" is a component of the cycle of professional training of specialists of educational and qualification level "Bachelor of Physics". The course program is aimed at students who are already familiar with the courses of mathematical analysis, linear algebra, probability theory and mathematical statistics. The course is designed to acquaint students with the basic concepts of quantum mechanics, such as self-adjoint operator, state space, completeness of the system of states and with the basic concepts of this discipline such as qubit, Bloch sphere, single-cubic and double-cubic logic elements, single-cubic and double-cubic states and operators, single-cubic quantum schemes, Bell states, quantum teleportation of states (at the initial level), classical and quantum information entropy, coherent states.
Recommended or required reading and other learning resources/tools
3. M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, (Cambridge University Press, Cambridge, 2010).
Planned learning activities and teaching methods
The total amount of 90 hours, including: Lectures - 30 hours. Independent work - 60 hours.
Assessment methods and criteria
The control is carried out according to the module-rating system, which consists of 2 content modules. The knowledge assessment system includes current and modular control of knowledge. Forms of current control: oral answers, assessment of written independent tasks and modular tests. The student can receive a maximum of 80 points for independent assignments, oral answers and modular tests and 20 points in the test. The final control is carried out in the form of a test (20 points). The ticket includes theoretical questions (10 points each) and a task (10 points).
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline