iamc / ML-CM-2019
Machine Learning in Condensed Matter Physics 2019 course repository
☆61Updated 5 years ago
Alternatives and similar repositories for ML-CM-2019:
Users that are interested in ML-CM-2019 are comparing it to the libraries listed below
- Files for QMC Workshop 2021☆57Updated 3 years ago
- 2014: Variational Monte Carlo for the harmonic oscillator, helium, hydrogen and H2 - IPython notebook and FORTRAN90☆11Updated 8 years ago
- Monte Carlo simulation on 2D XY-model☆25Updated 5 years ago
- Tutorials for the lecture "Computational Methods in Many-Body Physics"☆69Updated 5 years ago
- KITE Quantum Transport Software☆29Updated this week
- Python library for real space quantum Monte Carlo☆87Updated this week
- Topological Insulators - Notebooks for an introductory course☆28Updated 9 years ago
- 2-D XY Model with Monte Carlo method to simulate the KT Phase Transition☆16Updated 8 years ago
- Exercises for the Jyväskylä summer school 2022☆26Updated 2 years ago
- Course at the graduate level on Quantum mechanics for many-particle systems. The link to lecture notes in the form of a jupyter-book is …☆48Updated last month
- Python implementation of the DMRG algorithm for the Taipei DMRG Winter School☆56Updated 12 years ago
- Codes for learning how to numerically simulate quantum and classical mechanics☆16Updated last month
- Tutorials for a mini course in machine learning and quantum physics☆41Updated 5 years ago
- The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics…☆39Updated 6 months ago
- Hamiltonian generator and several algorithms, including TBA, ED, CPT/VCA and DMRG, etc.☆38Updated 2 years ago
- ipie stands for Intelligent Python-based Imaginary-time Evolution with a focus on simplicity and speed.☆57Updated last month
- A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.☆21Updated 2 years ago
- Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…☆32Updated 7 years ago
- Using Neural networks to compute topological invariants in insulators☆16Updated 4 years ago
- A mirror of https://gitlab.kwant-project.org/qt/qsymm☆40Updated 3 months ago
- Mathematical Introduction to Electronic Structure Theory☆46Updated 6 years ago
- This is a small python library to generate the basis and many-body Hamiltonian for the Fermi-Hubbard model.☆27Updated 9 years ago
- Python library to compute different properties of tight binding models☆32Updated 3 years ago
- ☆52Updated 7 months ago
- A package to simplify working with symmetry-adapted quantum many-body bases. Provides a good foundation for writing custom exact diagonal…☆31Updated last week
- Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and inclu…☆104Updated 2 weeks ago
- Python Based Auxiliary-Field Quantum Monte Carlo☆26Updated last year
- A program implementing Metropolis Monte Carlo for the 2D square-lattice Ising model and the spin block renormalization☆31Updated last year
- A set of ipython and c++ tutorials☆19Updated last month
- Matrix product states (MPS) based density matrix renormalization group (DMRG)☆27Updated last year