Adaptive density matrix renormalization group for disordered systems

2018/09/30 by J. C. Xavier, J. A. Hoyos, José A. Hoyos +1
Physics and Astronomy · #Antiferromagnetism #Condensed matter physics #Density matrix renormalization group #Eigenvalues and eigenvectors #Physics #Physics of Superconductivity and Magnetism #Quantum #Quantum and electron transport phenomena #Quantum entanglement #Quantum many-body systems #Quantum mechanics #Random matrix #Renormalization group #Spin (aerodynamics) #cond-mat.stat-mech #cond-mat.str-el

paper · pdf · doi:10.1103/physrevb.98.195115

published as Phys. Rev. B 98, 195115 (2018) · 9 pages,8 figures, final version to appear in PRB

arxiv created 2018/11/12 · openalex publication_date 2018/11/13 · arxiv updated 2018/11/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

We propose a simple modification of the density matrix renormalization-group (DMRG) method in order to tackle strongly disordered quantum spin chains. Our proposal, akin to the idea of the adaptive time-dependent DMRG, enables us to reach larger system sizes in the strong disorder limit by avoiding most of the metastable configurations, which hinder the performance of the standard DMRG method. We benchmark our adaptive method by revisiting the random antiferromagnetic XXZ spin-1/2 chain for which we compute the random-singlet ground-state average spin-spin correlation functions and von Neumann entanglement entropy. We then apply our method to the bilinear-biquadratic random antiferromagnetic spin-1 chain tuned to the antiferromagnet and gapless highly symmetric SU(3) point. We find the new result that the mean correlation function decays algebraically with the same universal exponent \ensuremathφ=2 as the spin-1/2 chain. We then perform numerical and analytical strong-disorder renormalization-group calculations, which confirm this finding and generalize it for any highly symmetric SU(N) random-singlet state.

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