This calculates the minimum eigenvalue in the Hubbard model with the use of the exact diagonalization method.
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Updated
Oct 20, 2017 - Python
This calculates the minimum eigenvalue in the Hubbard model with the use of the exact diagonalization method.
Basics on Exact Diagonalization
A Julia code for performing exact diagonalization of fractional quantum Hall systems
Exact diagonalization for finite quantum systems
A C++ numerical solution for obtaining the exact solutions for the energy spectrum of Half-filled Hubbard Model
SOLID implementation of standard solid states physics
Code for exact diagonalization of BoseHubbard hamiltonian
Singularity container for PRIMME (PReconditioned Iterative MultiMethod Eigensolver) library
User interface to compute electronic properties of transition metal atoms in a many-body framework
Python library for computing exact diagonalizations
Exact diagonalization of interacting quantum many-body systems
Lanczos diagonalization of a Heisenberg-like Hamiltonian in Julia.
This is the starting point for the DMRG algorithm for Many-Body Physics.
Julia modules for exact diagonalization of 1D Heisenberg model and exact time-evolution.
This module studies finite-size spin-systems or clusters using the exact diagonalization technique.
I will try to construct a many-body Hamiltonian and solve it using the basic python modules. For concreteness, we will solve two examples, namely the transverse field Ising (TFI) model and the toric code (TC) model in one and two spatial dimensions respectively.
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