FYS9480 – Quantum mechanics for many-particle systems
This course gives an introduction to the quantum mechanics of many-body systems and the computational methods relevant for many-body problems in such diverse areas as atomic, molecular, solid-state and nuclear physics, chemistry and materials science. The topics covered are Feynman diagram rules, microscopic mean-field theories (Hartree-Fock and Kohn-Sham theories, natural orbitals), many-body perturbation theory, large-scale diagonalization methods, coupled-cluster theory, quantum computing algorithms, quantum machine learning algorithms and Green's function approaches.
After this course you should :
- be able to apply these methods to selected physical systems.
- have a clear understanding of central many-body methods and their strengths and weaknesses.
- understand the role of many-body correlations starting from various mean field approaches.
- be able to use second quantization to develop many-body contributions.
- be able to develop smaller programs that implement central many-body methods.
- understand how to use advanced properties of many-body methods and develop extensive numerical algorithms for these.
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.
To be eligible for this course you must be admitted to a Ph.D. in one of the following subjects:
- Computational Science
- Materials and nanotechnology
The course is also available for exchange students.
Recommended previous knowledge
A good background in mathematics is needed.
Other recommended courses are:
- 10 credits overlap with FYS-KJM4480 – Quantum mechanics for many-particle systems (discontinued)
- 10 credits overlap with FYS-KJM9480 – Quantum mechanics for many-particle systems (discontinued)
- 10 credits overlap with FYS4480 – Quantum mechanics for many-particle systems (discontinued)
The course is based on assigned self studies and four extensive projects. There are no regular lectures. Meetings every two weeks (lasting an hour or two) are arranged in order to monitor progress and discuss projects and exercises.
- Four project assignments that each is given 20% weight in the final grading (80% together).
- A final oral exam that is given 20% weight in the final grading of the course.
Examination support material
No examination support material is allowed.
Language of examination
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Exam attempts in FYS-KJM4480 – Quantum mechanics for many-particle systems (discontinued), FYS-KJM9480 – Quantum mechanics for many-particle systems (discontinued) or FYS4480 – Quantum mechanics for many-particle systems (discontinued) count as exam attempts in FYS9480 – Quantum mechanics for many-particle systems (discontinued).
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.