EPN-V2

DATA3700 Quantum Information Technologies Project Course description

Course name in Norwegian
Kvanteinformasjonsteknologi prosjekt
Study programme
Bachelor's Degree Programme in Software Engineering
Bachelor's Degree Programme in Mathematical Modelling and Data Science
Weight
10.0 ECTS
Year of study
2025/2026
Curriculum
FALL 2025
Schedule
Course history

Introduction

This course will offer students the opportunity to engage in quantum information technologies (QITs) to address practical problems and real-world challenges. The course will place a strong emphasis on computational quantum physics and quantum computing, including emerging fields like quantum artificial intelligence (AI).

Students will work on projects that involve substantial computational components, for example, utilizing cloud-accessible quantum computing platforms such as IBM Quantum Experience and OsloMet’s Quantum Hub three-qubit quantum computer.

Recommended preliminary courses

Subjects within programming, such as DAPE1400 Programming or DATA1300 Rapid development with scripting-language. Basic mathematics, such as DAFE1000 Mathematics 1000, will be an advantage.

Required preliminary courses

No requirements over and above the admission requirements

Learning outcomes

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student has:

  • a fundamental understanding of key concepts in quantum computing and quantum physics.
  • a fundamental understanding of quantum information technologies
  • an understanding of the principles and applications of quantum computing and computational quantum approaches (including quantum chemistry)
  • an understanding of the potential impact of quantum information technologies on the future of computing and information processing.

Skills

The student can:

  • use and program present-day quantum computers through cloud-based platforms
  • apply quantum computing to solve complex, real-world problems
  • orient themselves in academia, research institutions, and leading tech companies focused on quantum technologies.

General competence

The student can:

  • use their understanding of emerging quantum concepts and technologies and be adaptable and forward-thinking IT professionals
  • apply interdisciplinary methodologies, combining concepts from physics, computer science, and mathematics to solve complex problems
  • clearly communicate professional issues in the areas of quantum information technologies in both written and oral form

Teaching and learning methods

Supervision sessions with an internal and/or external supervisor. The students can complete the project individually or in a group of up to five students. The projects are chosen/assigned at the start of the semester.

Course requirements

The following work requirements are mandatory and must be approved in order to prepare for the exam:

  • A project outline, 1000 - 2000 words, that describes how the group will organise their work on the project.
  • A standard learning agreement must be established between the project provider / supervisor and the student(s), and this must be approved by the course coordinator before the project can start.
  • Three meeting minutes from supervisory meetings during the project period.
  • An oral mid-term presentation, individual or in groups (max 5 students), 10 minutes + 5 minutes Q&A.

The deadlines for submitting the project outline and minutes of the meetings will be presented in the teaching plan, which is made available at the beginning of the semester.

Assessment

Written project report (100 % of the final grade).

A written project report delivered at the end of the semester, individual or in groups (max 5 students), max 5000 words.

For group projects, all members of the group receive the same grade.

The exam result can be appealed.

Permitted exam materials and equipment

All aids are permitted, as long as the rules for source referencing are complied with.

Grading scale

Grade scale A-F.

Examiners

One internal examiner. External examiners are used regularly.