FYS9411 - Computational physics II: Quantum mechanical systems
Schedule, syllabus and examination date
This is an advanced course on computational physics with an emphasis on quantum mechanical systems with many interacting particles. The applications and the computational methods are relevant for research problems in such diverse areas as nuclear, atomic, molecular and solid-state physics, chemistry and materials science.
A theoretical understanding of the behavior of quantum-mechanical many-body systems - that is, systems containing many interacting particles - is a considerable challenge in that no exact solution can be found; instead, reliable methods are needed for approximate but accurate simulations of such systems on modern computers. New insights and a better understanding of complicated quantum mechanical systems can only be obtained via large-scale simulations. The capability to study such systems is of high relevance for both fundamental research and industrial and technological advances.
The aim of this course is to present applications of, through various computational projects, some of the most widely used many-body methods with pertinent algorithms and high-performance computing topics such as advanced parallelization techniques and object orientation.
The methods and algorithms that will be studied may vary from year to year depending on the interests of the participants, but the main focus will be on systems from computational material science, solid-state physics, atomic and molecular physics, nuclear physics and quantum chemistry. The most relevant algorithms and methods are microscopic mean-field theories (Hartree-Fock and Kohn-Sham theories and density functional theories), large-scale diagonalization methods, coupled-cluster theory, and quantum Monte Carlo like Variational Monte Carlo and Diffusion Monte Carlo approaches. Methods to study phase transitions for both fermionic and bosonic systems can also be addressed.
The course introduces a variety of central algorithms and methods for professional studies of quantum mechanical systems, with relevance for several problems in physics, materials science and quantum chemistry. The course is project based and through the various projects, normally two, the participants will be exposed to fundamental research problems in these fields, with the aim to reproduce state of the art scientific results. The students will learn to develop and structure large codes for studying these systems, get aquainted with supercomputing facilities and learn to handle large scientific projects. A good scientific and ethical conduct is emphasized throughout the course.
The course is also a continuation of FYS4150 - Computational physics, and it will give a further treatment of several of the numerical methods given there.
PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.
Recommended previous knowledge
FYS3150 - Computational physicsFYS3150 - Computational physics
FYS3110 - Quantum mechanicsFYS3110 - Quantum mechanics or
FYS-MENA3110 - Kvantenanofysikk (discontinued)FYS-MENA3110 - Kvantenanofysikk or
FYS4110 - Modern quantum mechanicsFYS4110 - Non-relativistic quantum mechanics or
FYS-KJM4480 - Quantum mechanics for many-particle systemsFYS-KJM4480 - Quantum mechanics for many-particle systems
- 10 credits overlap with FYS4411 - Computational physics II: Quantum mechanical systems
- 5 credits overlap with FYS9410 - Computational physics II (discontinued)
This is a project oriented course which contains a mix of lectures and weekly computer laboratory sessions. The bulk of the lectures (40 hours) is given during two intensive five-day periods, one period during the first week of February and one in March/April (to be determined).
Laboratory sessions are given weekly (Thursday 2pm-6pm) as well as during the two intensive five-day periods. The laboratory sessions start the first week of February and end the last week of May.
There will be additional tasks to be defined during the semester.
Access to teaching
A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.
The course is based on three large projects which are evaluated and graded. The two first projects will count 25% of the final grade and the last project will count 50% of the final grade. Final grade (pass/not pass) based on the three projects. There is no final written or oral examination.
Examination support material
No examination support material is allowed.
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Resit an examination
This course offers both postponed and resit of examination. Read more:
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.