Abstract

Finite-temperature transport properties of one-dimensional systems can be studied using the time dependent density matrix renormalization group via the introduction of auxiliary degrees of freedom which purify the thermal statistical operator. We demonstrate how the numerical effort of such calculations is reduced when the physical time evolution is augmented by an additional time evolution within the auxiliary Hilbert space. Specifically, we explore a variety of integrable and non-integrable, gapless and gapped models at temperatures ranging from T = ∞ down to T/bandwidth = 0.05 and study both (i) linear response where (heat and charge) transport coefficients are determined by the current–current correlation function and (ii) non-equilibrium driven by arbitrary large temperature gradients. The modified density matrix renormalization algorithm removes an ‘artificial’ build-up of entanglement between the auxiliary and physical degrees of freedom. Thus, longer time scales can be reached.

Highlights

  • A physical system is usually characterized by its response to perturbations

  • We focus on transport properties in linear response [40, 42, 44] and in thermal non-equilibrium [43]

  • We presented extensive quantitative data for how the growth of entanglement in finite-temperature dynamical density matrix renormalization group (DMRG) calculations can be reduced by time-evolving the auxiliary degrees of freedom which purify the thermal statistical operator

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Summary

Introduction

A physical system is usually characterized by its response to perturbations. In transport setups, one studies charge or energy currents driven by voltage or temperature gradients. This renders the time evolution of |ΨT trivial, and the evaluation of Eq (5) is eventually only plagued by an entanglement building up around the region where B acts in complete analogy to the ground state calculation (the physical reason being quasilocality [31, 32]) This generically leads to a slower increase of the bond dimension χ, and longer time scales can be reached.

Models
Transport properties
Results
Prelude
Reduction of the growth of entanglement
Spin correlation function
Optimization of UQ
Summary
Full Text
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