2014
DOI: 10.1103/physrevb.90.035129
|View full text |Cite
|
Sign up to set email alerts
|

Time-dependent numerical renormalization group method for multiple quenches: Application to general pulses and periodic driving

Abstract: The time-dependent numerical renormalization group method (TDNRG) [Anders et al.,, Phys. Rev. Lett. 95, 196801 (2005)] was recently generalized to multiple quenches and arbitrary finite temperatures [Nghiem et al., Phys. Rev. B 89, 075118 (2014)] by using the full density matrix approach [Weichselbaum et al., Phys. Rev. Lett. 99, 076402 (2007)]. The formalism rests solely on the numerical renormalization group (NRG) approximation. In this paper, we numerically implement this formalism to study the response … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
45
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 34 publications
(45 citation statements)
references
References 76 publications
0
45
0
Order By: Relevance
“…Several theoretical methods have been devised to study the dissipative spin dynamics for one spin in an ohmic bath such as the non-interacting blip approximation 2,3 , Quantum Monte Carlo (QMC) methods on the Keldysh contour [19][20][21][22] , and the time-dependent (TD) Numerical Renormalization Group (NRG) approach [23][24][25][26] , with recent progress done concerning the treatment of driving and quenches 27 . Stochastic approaches have been developed both in the context of stochastic wavefunction approaches 28 or Stochastic Schrödinger Equation (SSE) methods on the density matrix [29][30][31] .…”
Section: Introductionmentioning
confidence: 99%
“…Several theoretical methods have been devised to study the dissipative spin dynamics for one spin in an ohmic bath such as the non-interacting blip approximation 2,3 , Quantum Monte Carlo (QMC) methods on the Keldysh contour [19][20][21][22] , and the time-dependent (TD) Numerical Renormalization Group (NRG) approach [23][24][25][26] , with recent progress done concerning the treatment of driving and quenches 27 . Stochastic approaches have been developed both in the context of stochastic wavefunction approaches 28 or Stochastic Schrödinger Equation (SSE) methods on the density matrix [29][30][31] .…”
Section: Introductionmentioning
confidence: 99%
“…The numerical renormalization group method [22][23][24][25][26][27] provides a direct access to the wave function and has a very high energy resolution in the energy window around the Fermi energy, but is quite limited for the energy distribution of bath orbitals. The quantum Monte-Carlo methods, which first formulate the quantity of interest (typically Green's functions) as a weighted summation of infinite terms, and subsequently perform the summation using the standard Monte-Carlo technique (such as heat bath or Metropolis algorithm), are formally exact.…”
Section: Introductionmentioning
confidence: 99%
“…For current transport problems, it is important to formulate the system in terms of the scattering states of the noninteracting system, which is somewhat different from the conventional way of developing the numerical renormalization group because the impurity operators are part of the scattering states operators. Generalizations to include multiple quenches have also been made 72 . One of the issues with this approach is that the exponential decay of the hopping matrix elements projects the system to lower and lower energy shells of the final Hamiltonian, and it isn't clear that the nonequilibrium system is projected onto those low energy states.…”
Section: Algorithms Based On Renormalization Group Ideasmentioning
confidence: 99%