Machine learning algorithms for many-body quantum systems
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Updated
Jan 20, 2025 - Python
Machine learning algorithms for many-body quantum systems
Basics on Exact Diagonalization
Code for exact diagonalization of BoseHubbard hamiltonian
Quick and dirty TRIQS wrapper around the Pomerol exact diagonalization library
This calculates the minimum eigenvalue in the Hubbard model with the use of the exact diagonalization method.
Python bindings for libcommute
Collection of tools for condensed matter computational physics.
Python library for computing exact diagonalizations
📝 Code for the paper "Many-body quantum sign structures as non-glassy Ising models"
Exact diagonalization of fermionic (many-body) systems
kitaev_clusters: Python package for Exact Diagonalization of the Kitaev honeycomb model. Efficient construction and diagonalization of extremely large sparse matrix Hamiltonians.
Exact diagonalization of the Heisenberg Hamiltonian
Python bindings for libcommute. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001722
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