Performance of the rigorous renormalization group for first order phase transitions and topological phases

TL;DR

This paper evaluates the accuracy and performance of the rigorous renormalization group (RRG) method in studying first order phase transitions and topological phases, highlighting its advantages over DMRG in challenging regimes.

Contribution

It demonstrates that RRG provides more reliable results than DMRG near phase transitions and topological phases, and suggests hybrid approaches for improved accuracy.

Findings

RRG accurately determines energies where DMRG fails.

RRG outperforms DMRG in symmetry protected topological phases.

Seeding DMRG with RRG results can enhance performance.

Abstract

Expanding and improving the repertoire of numerical methods for studying quantum lattice models is an ongoing focus in many-body physics. While the density matrix renormalization group (DMRG) has been established as a practically useful algorithm for finding the ground state in 1D systems, a provably efficient and accurate algorithm remained elusive until the introduction of the rigorous renormalization group (RRG) by Landau et al. [Nature Physics 11, 566 (2015)]. In this paper, we study the accuracy and performance of a numerical implementation of RRG at first order phase transitions and in symmetry protected topological phases. Our study is motived by the question of when RRG might provide a useful complement to the more established DMRG technique. In particular, despite its general utility, DMRG can give unreliable results near first order phase transitions and in topological phases, since its local update procedure can fail to adequately explore (near) degenerate manifolds. The rigorous theoretical underpinnings of RRG, meanwhile, suggest that it should not suffer from the same difficulties. We show this optimism is justified, and that RRG indeed determines accurate, well-ordered energies even when DMRG does not. Moreover, our performance analysis indicates that in certain circumstances seeding DMRG with states determined by coarse runs of RRG may provide an advantage over simply performing DMRG.