Machine learning algorithms for many-body quantum systems
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Updated
Jul 15, 2024 - Python
Machine learning algorithms for many-body quantum systems
Quantum Lattice Model Simulator Package
Exact diagonalization, Lehmann's representation, Two-particle Green's functions
Basics on Exact Diagonalization
Exact diagonalization library for general models
Exact diagonalization for finite quantum 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
Exact Diagonalization for Hubbard model/Tight-binding model by MatheMatica
Quick and dirty TRIQS wrapper around the Pomerol exact diagonalization library
An Exact Diagonalization Code for the 1D & 2D Hubbard Model
A quantum operator algebra domain-specific language and exact diagonalization toolkit for C++11/14/17
Data, code and scripts for a paper on entanglement after a quantum quench
C++ library for Exact Diagonalization of quantum many-body systems
Python bindings for libcommute
Exact Diagonalization solver for Quantum Cluster Problems.
Code for exact diagonalization of BoseHubbard hamiltonian
A Massively Parallel Exact Diagonalization solver for generic Quantum Impurity problems.
A Julia code for performing exact diagonalization of fractional quantum Hall systems
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