Quantum Programming

Course guarantor:

Aurél Gábor Gábris

Lecturer:

Aurél Gábor Gábris, Iskender Yalcinkaya

Tutor:

Aurél Gábor Gábris, Rajeswari Murukan Chandrika, Iskender Yalcinkaya

Supervisor:

Department of Physics

Synopsis:

The goal of the course is to provide the basic skills for programming quantum computers, and to use these skills to develop an understanding of fundamental quantum communication protocols and quantum algorithms. The classes are combinations of lectures that introduce the essential concepts and tools, and interactive tutorials on how these concepts are implemented with Python programming language. Every week the students will be given Jupyter notebooks involving self-study materials and homework. The course is suitable for bachelor and master’s students from all years and familiarity with quantum mechanics is not necessary. The classes are held entirely online to get the most out of the learning material and make it internationally accessible. The quantum SDK Qiskit will be used during the course. Use of own laptops with a quantum SDK installed before the course start is required.

Requirements:

Students must be familiar with elementary linear algebra, complex numbers, and be able to code simple programs in python.

Syllabus of lectures:

1.Probabilistic and quantum bits, quantum computing SDK

2.Bloch sphere representation of a qubit, general single qubit gates

3.Measurement, cloning, state identification of an ensemble

4.Two qubits, quantum correlations, quantum circuits

5.Quantum communication protocols: quantum teleportation, super dense coding

6.Quantum key distribution protocol: BB84

7.Multi-qubit gates, universal quantum computer

8.Deutsch–Jozsa algorithm, the Oracle

9.Grover’s search algorithm

10.Quantum Fourier Transform

11.Quantum phase estimation

12.Shor’s factorization, quantum Fourier transformation

Syllabus of tutorials:

Study Objective:

- Understanding of the principles of fundamental quantum algorithms

- Ability to develop own code for quantum computers using a quantum SDK library

Study materials:

Key references:

[1] Links to course materials available from https://people.fjfi.cvut.cz/gabriaur/02QPROG

Recommended references:

[2] M. A. Nielsen, I. L. Chuang, Quantum computation and quantum information, Cambridge Univ. Press, 2013.

[3] Learn Quantum Computation using Qiskit: https://qiskit.org/textbook

Note:

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans:

• Matematická fyzika (elective course)
• Kvantové technologie (elective course)