Applied Quantum Technology and Quantum Sensing
Undergraduate course
- ECTS credits
- 10
- Course code
- KVANTE201
- Teaching language
- 1. Norwegian2. English
- Resources
- Schedule
Course description
Objectives and Content
Objective:
The course aims to provide the student with a thorough introduction to quantum technology through both theory and application.
Content:
The course covers the theory and application of various quantum systems, such as quantum sensors, quantum computers, quantum algorithms, and more. Experimental understanding is emphasized in the course, which is structured into four course modules that include group work and theoretical review, followed by experimental laboratory exercises.
Learning Outcomes
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The student:
• Can explain how the principles of quantum physics are utilized to create advanced quantum sensors, for quantum information technology, and to perform complex calculations.
• Can explain quantum technology and important applications of quantum technology in research and society.
• Can make use of quantum programming through Qiskit or other open-source tools (e.g., PennyLane).
• Can reproduce and carry out quantum experiments covered in the course.
Skills
The student:
• Can analyze data from selected quantum sensors.
• Can perform simple quantum computing calculations using Qiskit or other open-source tools (e.g., PennyLane).
• Can perform measurements with a selection of quantum sensors.
General Competence
The student:
• Has acquired knowledge of quantum technology and its applications.
• Has gained experience in collaborating with fellow students to solve complex problems.
• Has trained in presenting complex problems through various media in an understandable way to fellow students.
• Has experience from practical and experimental work in the lab.
Full-time/Part-time
ECTS Credits
Level of Study
Semester of Instruction
Place of Instruction
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Teaching and learning methods
Teaching is based on 4 modules and is delivered through lectures, lab groups, and project work. Each module lasts approximately 4 weeks and includes:
• Lectures (4 hours) and group discussions (2 hours) – Week 1
• Project work and preparations (6 hours) – Week 2
• Laboratory work (6 hours) – Week 3
• Project work with report writing (6 hours) – Week 4