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Generalization of the Time-Dependent Numerical Renormalization Group Method to Finite Temperatures and General Pulses

Published 12 Dec 2013 in cond-mat.str-el | (1312.3646v2)

Abstract: The time-dependent numerical renormalization group (td-NRG) [Anders et al. Phys. Rev. Lett. {\bf 95}, 196801 (2006)] offers the prospect of investigating in a non-perturbative manner the time-dependence of local observables of interacting quantum impurity models at all time scales following a quantum quench. We present a generalization of this method to arbitrary finite temperature by making use of the full density matrix [Weichselbaum et al. Phys. Rev. Lett. {\bf 99}, 076402 (2007)]. We show that all terms in the projected density matrix $\rho{i\to f} = \rho{++} + \rho{--} + \rho{+-}+\rho{-+}$ in the time-evolution of a local observable may be evaluated in closed form, with $\rho{+-}=\rho{-+}=0$. The expression for $\rho{--}$ is shown to be finite at finite temperature, becoming negligible only in the limit of vanishing temperatures. We prove that this approach recovers the short-time limit for the expectation value of a local observable exactly at arbitrary temperatures. In contrast, the corresponding long-time limit is only recovered exactly in the limit $\Lambda\rightarrow 1{+}$. This limit is impractical within NRG. We suggest how to overcome this problem by noting that the long-time limit becomes increasingly more accurate on reducing the size of the quantum quench. This suggests an improved generalized td-NRG approach in which the system is time-evolved between the initial and final states via a sequence of small quantum quenches within a finite time interval instead of a single large quantum quench. The formalism for this is provided, generalizing the td-NRG to multiple quantum quenches, periodic switching, and general pulses. This formalism, like our finite temperature generalization of the single-quench case, rests only on the NRG approximation. The results are illustrated by application to the Anderson impurity model.

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