DMRG and the Two Dimensional t-J Model

TL;DR

This paper applies an advanced non-Abelian DMRG algorithm to the 2D t-J model, enabling more detailed analysis of its ground state by retaining more basis states efficiently.

Contribution

It extends the DMRG algorithm to non-Abelian symmetries, allowing for more basis states to be kept and improving the study of the 2D t-J model's ground state.

Findings

Enhanced basis state retention with non-Abelian DMRG

Deeper insights into the ground state properties of the 2D t-J model

Improved computational efficiency over conventional DMRG

Abstract

We describe in detail the application of the recent non-Abelian Density Matrix Renormalization Group (DMRG) algorithm to the two dimensional t-J model. This extension of the DMRG algorithm allows us to keep the equivalent of twice as many basis states as the conventional DMRG algorithm for the same amount of computational effort, which permits a deeper understanding of the nature of the ground state.