Course syllabus adopted 2023-02-07 by Head of Programme (or corresponding).
Overview
- Swedish nameKvantteknologi
- CodeFKA133
- Credits7.5 Credits
- OwnerMPNAT
- Education cycleSecond-cycle
- Main field of studyEngineering Physics
- DepartmentMICROTECHNOLOGY AND NANOSCIENCE
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language English
- Application code 18123
- Maximum participants40 (at least 10% of the seats are reserved for exchange students)
- Block schedule
- Open for exchange studentsYes
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
---|---|---|---|---|---|---|---|
0123 Project 1.5 c Grading: UG | 1.5 c | ||||||
0223 Examination 6 c Grading: TH | 6 c |
|
In programmes
- MPHPC - HIGH-PERFORMANCE COMPUTER SYSTEMS, MSC PROGR, Year 2 (elective)
- MPNAT - NANOTECHNOLOGY, MSC PROGR, Year 1 (compulsory)
Examiner
- Per Hyldgaard
- Full Professor, Electronics Material and Systems, Microtechnology and Nanoscience
Eligibility
General entry requirements for Master's level (second cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
English 6 (or by other approved means with the equivalent proficiency level)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Course specific prerequisites
Bachelor in physics, electrical engineering, chemistry, or equivalent level of education. Basic knowledge in quantum physics and/or quantum chemistry, possibly from part of a broader course.Aim
The objective for this course is to meet the increased need of knowledge about quantum engineering that electrical engineers, material scientists, and other applied physicists have entering the field of nanoscale physics and technology.Learning outcomes (after completion of the course the student should be able to)
The goal of the course is to give students theoretical and technical skills to use quantum theory as tool in their continued studies and research. After completing the course in Quantum Engineering the student will have: acquired familiarity with basic tools of quantum mechanics, practical skills in solving standard quantum mechanical problems, understood and applied concepts of quantum tunneling, understood and used second quantization for the harmonic oscillator, gained numerical skills in treating scattering off and transmission through barriers, use the Lewis model of chemical bonding, apply valence bond and molecular orbital theory to common bonding situations in organic chemistry, and predict the structure of and the electron distribution in organic molecules.Content
The emphasis is on a practical approach to quantum mechanics rather that than a formal treatment.Topics covered include:
- Basic quantum theory for model potentials and barriers
- Basic theory of quantum transport
- Chemical bonding and structure
- Quantum description of molecules and materials: Simple tight-binding approximation and more advanced computational methods
- The origin of intermolecular interactions and their role in the formation of molecular clusters
- Harmonic oscillator, coherent states and second quantization
- Time-independent and time-dependent perturbation theory
as well as a short introduction to:
- Electrons in magnetic field, spin
- Many-particle theory, quantum statistics, fermions and bosons
- Graphene and other layered materials
Organisation
The various topics will be covered through regular lectures, exercises, and through two individual projects with literature studies, computer work, and written project reports.Literature
The course is based on lecture notes that will be available in Canvas. It is recommended to also have access to an introductory quantum physics book. Computer assignments will be carried out using the programming environment Matlab or python. You will need either previous experience with these or access to a handbook on Matlab/python programming.Examination including compulsory elements
Written exam and a pass for both of the written project reports.The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.