DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as implemented in ITensor. Most of the computations can be performed both with DMRG and exact diagonalization for small systems, which allows one to benchmark the results.

Tensor Netwok Algorithms for EVERYONE

DMRG using Matrix Product States in Julia

Quantim Circuit Simulation with Tree Tensor Networks using DMRG algorithm

Tensor-Train Factorized Probability Models for Estimation of Distribution Algorithms

A relatively simple implementation, in Python, of the DMRG algorithm using the MPS framework.

Tensor-Network Machine Learning with Matrix Product States, trained via a surrogate (projective) loss instead of standard negative log-likelihood

Quantum Ciruit SImulation with Tree Tensor Network and Matrix Product States using Density-Matrix Renormalization Group Algorithm

A free and open source implementation of the DMRG Algorithm

This is the starting point for the DMRG algorithm for Many-Body Physics.

Scalable parallel DMRG engine for interacting models in 1d featuring entangled-based distributed wavefunction.

DMRG code for Z_n Models

Containing notes and simulations pertaining to DMRG.

Jumping on the Jamstack bandwagon

Simple spectral learning for weighted automata