CompPhysics/ComputationalPhysics2
Advanced course in Computational Physics, see texbook at http://compphysics.github.io/ComputationalPhysics2/doc/LectureNotes/_build/html/ with an emphasis on computational quantum mechanics, machine learning and quantum computing.
This project provides resources for scientists, engineers, and graduate students who need to simulate the behavior of complex quantum-mechanical systems with many interacting particles. It offers lecture materials, code, and exercises to help users understand and apply advanced computational methods like quantum Monte Carlo and mean-field theories. The goal is to perform large-scale simulations that generate new insights into quantum systems across various scientific and engineering disciplines.
211 stars.
Use this if you are a graduate student, researcher, or engineer in fields like materials science, quantum chemistry, or nuclear physics, and you need to develop robust computational models to simulate complex quantum many-body systems.
Not ideal if you are looking for an out-of-the-box software tool to run simulations without developing your own code, or if you lack a foundational understanding of programming and quantum mechanics.
Stars
211
Forks
73
Language
—
License
CC0-1.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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