Overview of course material: FYS4411/9411 Computational Physics 2, Computational Quantum Mechanics
Morten Hjorth-Jensen [1, 2]
[1] Department of Physics and Astronomy and Facility for Rare Ion Beams, Michigan State University, USA
[2] Department of Physics and Center for Computing in Science Education, University of Oslo, Norway
Lecture notes as Jupyter-book
January 15-19: Welcome and introduction to the course and Variational Monte Carlo
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January 22-26: Building a Variational Monte Carlo code, the Metropolis Algoritm and Markov Chains
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January 29-February 2: Metropolis Algorithm and Importance Sampling
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February 5-9: Importance Sampling and Metropolis-Hastings algorithm
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February 12-16: Optimization problems, basic ideas
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February 19-23: Gradient methods and optimization problems
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February 26-March 1: Bootstrap and Blocking as Resampling methods
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March 4-8: Resampling methods and start optimization of codes
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March 11-15: Optimization and parallelization
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March 18-22: Deadline for project 1 and summary and discussions of project 1 and possible variants for project 2
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March 25-31: Holiday break
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April 1-5: To be added (TBA)
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April 8-12: TBA
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April 15-19: TBA
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April 22-26: TBA
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April 29-May 3: TBA
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May 6-10: Summary of course and last lecture and lab session
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Projects Spring 2024
Project 1, Variational Monte Carlo studies of Quantum Mechanical Systems, deadline March 22
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Project 2, Deep Learning and Quantum Mechanical Systems, deadline June 1
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Project 2, Variational Monte Carlo for Fermions, deadline June 1, 2024
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Project 2, Time-dependent Hartree-Fock, deadline June 1, 2024
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Project 2, Quantum Computing, deadline June 1, 2024
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Project 2, Coupled clsuter theory, deadline June 1, 2024
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