FYSS5440 Quantum Monte Carlo Methods (3 cr)

Open the course unit brochure on Sisu

Study level:

Advanced studies

Grading scale:

0-5

Language:

English, Finnish

Responsible organisation:

Department of Physics

Curriculum periods:

2024-2025, 2025-2026, 2026-2027, 2027-2028

Description

Monte Carlo integration
Sampling from a distribution

Variational Monte Carlo and optimization of the trial wave function
Diffusion Monte Carlo for boson and fermion systems

Path Integral Monte Carlo and finite temperature systems

Learning outcomes

After completing the course the student knows

how to calculate the properties of a system using the Variational Monte Carlo method
how to calculate the ground state properties using the Diffusion Monte Carlo method
how to compute finite temperature expectation values using the path integral Monte Carlo method

Description of prerequisites

Basic programming skills in Python, Julia or C++ will aid following sample programs.

Study materials

Lecture notes

Sample MC programs in Python and Julia

Scientific articles

Completion methods

Method 1

Description:

Given every two years starting autumn 2024.

Evaluation criteria:

Exam

Time of teaching:

Period 2

Select all marked parts

Parts of the completion methods

Participation in teaching (3 cr)

Type:

Participation in teaching