User interface to compute electronic properties of transition metal atoms in a many-body framework
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Updated
May 31, 2024 - Jupyter Notebook
User interface to compute electronic properties of transition metal atoms in a many-body framework
Machine learning algorithms for many-body quantum systems
Massively parallel exact diagonalization of large model Hamiltonians.
Quantum Lattice Model Simulator Package
A Massively Parallel Exact Diagonalization solver for generic Quantum Impurity problems.
Random Integrators for many-body quantum systems
C++ library for Exact Diagonalization of quantum many-body systems
A package to simplify working with symmetry-adapted quantum many-body bases. Provides a good foundation for writing custom exact diagonalization and variational Monte Carlo software
Quick and dirty TRIQS wrapper around the Pomerol exact diagonalization library
A quantum operator algebra domain-specific language and exact diagonalization toolkit for C++11/14/17
A simple HPC massively parallel Hubbard Hamiltonian solver (Exact diagonalization) for general topologies given using the .graphml format.
kitaev_clusters: Python package for Exact Diagonalization of the Kitaev honeycomb model. Efficient construction and diagonalization of extremely large sparse matrix Hamiltonians.
Exact diagonalization, Lehmann's representation, Two-particle Green's functions
An efficient and intuitive python package for solving discrete, finite many-body physics problems using exact diagonalization.
Python bindings for libcommute
Equilibrium ED solver for finite fermionic models that can compute Keldysh Green's functions
Running, plotting, analysing @QcmPlab codes from MATLAB.
Exact Diagonalization solver for Quantum Cluster Problems.
Exact diagonalization of fermionic (many-body) systems
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