Principles of Quantum Computers and Quantum Programming F
Course, Master's level, 1FA019
Expand the information below to show details on how to apply and entry requirements.
Spring 2026
Spring 2026,
Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 19 January 2026–22 March 2026
- Language of instruction
- English
- Entry requirements
-
120 credits within science/engineering. Quantum Physics or Quantum Physics F. Computer Programming I or Introduction to Scientific Computing. Linear Algebra II.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 October 2025
- Application code
- UU-63020
Admitted or on the waiting list?
- Registration period
- 19 December 2025–18 January 2026
- Information on registration from the department
Spring 2026
Spring 2026,
Uppsala, 33%, On-campus, English
For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 19 January 2026–22 March 2026
- Language of instruction
- English
- Entry requirements
-
120 credits within science/engineering. Quantum Physics or Quantum Physics F. Computer Programming I or Introduction to Scientific Computing. Linear Algebra II.
Admitted or on the waiting list?
- Registration period
- 19 December 2025–18 January 2026
- Information on registration from the department
About the course
This course focuses on the principles of quantum computing and programming. It is for you who have prior knowledge of quantum mechanics. It covers the fundamental physics underlying classical and quantum computers, emphasising their differences and the types of problems suited for each. You will learn about the core components of quantum processing units (QPU), use quantum programming languages, and implement key algorithms such as quantum teleportation and Shor's algorithm. The course includes practical experience in simulating quantum systems, working with quantum hardware, and running programs on real quantum devices like IBM Quantum and Google Quantum AI. It also explores the theoretical and technical limits of classical and quantum computation.
If you are interested in the subject and have a background in mathematics/computer science rather than physics it is recommended that you attend 1FA019 Introduction to Quantum Computing and Quantum Programming.
Reading list
No reading list found.