Applied quantum physics
Postgraduate course
- ECTS credits
- 10
- Teaching semesters
- Autumn
- Course code
- PHYS261
- Number of semesters
- 1
- Teaching language
- English
Course description
Objectives and Content
Objectives
The subject will provide a deep understanding of atoms and how they interact with electromagnetic fields.
Content
The course describes the fundamental characteristics and structure of atoms, from one- and two-electron systems to the periodic table. Both non-relativistic theory in the form of the Schrödinger equation and relativistic theory with the Dirac equation are utilized, and the relationship between the two is explored. Furthermore, it describes how the Dirac equation predicts the existence of both particles and antiparticles, as well as their intrinsic spin. The subject also addresses the electromagnetic field and laser light, and how they interact with atoms.
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 has knowledge of:
- the structure and dynamics of stable quantum systems, including atoms.
- how many-particle systems are described using quantum mechanics.
- how atoms and charges interact with electromagnetic fields.
- relativistic effects in atoms and how the Dirac equation describes free particles, antiparticles, and the hydrogen atom.
Skills
The student can:
- formulate physical models and use mathematical and numerical methods to solve simple non-relativistic as well as relativistic problems.
- describe many-particle systems quantum mechanically.
- calculate transition probabilities in atoms generated by electromagnetic fields.
General competence
The student can:
- explain how fundamental matter is structured and responds to radiation.
- explain how atomic processes underlie and influence phenomena around us.
- provide examples of how quantum mechanical effects are utilized in quantum technology.
ECTS Credits
Level of Study
Semester of Instruction
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Teaching and learning methods
Lectures / 4 hours per week.
Seminar (numerical workshop) / 2 hours per week in 8 weeks.