1. SylabUZ
2. Wydział Matematyki, Informatyki i Ekonometrii
3. semestr zimowy 2022/2023
4. Mathematics - pierwszego stopnia z tyt. licencjata
5. Quantum Computing

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Quantum Computing - opis przedmiotu

Cel przedmiotu

• Presentation of the concept of quantum computers.
• Presenting examples of quantum computing and the application of quantum computers.
• The student will acquire knowledge and skills in the basics of quantum computer programming.

Wymagania wstępne

Zapisz zmiany

Linear algebra, basics of C/C++, Java or Python programming.

Zakres tematyczny

Lecture

1. Why we need quantum computers.
2. How quantum computers work.
3. What is quantum computing.
4. Quantum concepts including superposition, entanglement and uncertainty.
5. Learning to program in quantum computing.
6. Where quantum computers are used.
7. Case study of how quantum can improve industry applications.

Laboratory

1. IBM Quantum Network.
2. Introduction to the Qiskit platform, SDK (Software Development Kit)
3. Coding the first quantum circuit using the Qiskit platform.
4. Creating and running circuits using IBM Quantum Composer. 
5. Prototype cloud applications.
6. Quantum programs in Python.
7. Advanced research in quantum computing.

Metody kształcenia

Lecture: Problem lecture, presentation of quantum concepts and case study.
Laboratory: Laboratory exercises in a computer lab, writing and running self-written programs on topics given by the instructor.

 

Efekty uczenia się i metody weryfikacji osiągania efektów uczenia się

Opis efektu	Symbole efektów	Metody weryfikacji	Forma zajęć

Warunki zaliczenia

Checking the degree of students' preparation and their activity during laboratory exercises.

Obtaining positive grades from laboratory exercises planned for implementation as part of the laboratory program.

A written test to pass the lecture, consisting of questions and tasks verifying knowledge of the material covered.

The final grade for the course consists of the laboratory grade (50%) and the lecture grade (50%). The condition for passing the course is a positive grade in the laboratory lecture.

Literatura podstawowa

1. Eric R. Johnston, Nicholas Harrigan, Mercedes Gimeno-Segovia Programming Quantum Computers. Essential Algorithms and Code Samples Helion 2019
2. Chris Bernhardt Quantum Computing for Everyone The MIT Press 2020

Literatura uzupełniająca

Uwagi

Zmodyfikowane przez dr Ewa Sylwestrzak-Maślanka (ostatnia modyfikacja: 04-05-2024 21:39)