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Download filePerfect quantum excitation energy transport via single edge perturbation in a complete network
journal contribution
posted on 2017-07-27, 13:19 authored by Hassan Bassereh, Vahid Salari, Farhad Shahbazi, Tapio Ala-NissilaTapio Ala-NissilaWe consider quantum excitation energy transport (EET) in a network of two-state nodes in the Markovian approximation by employing the Lindblad formulation. We find that EET from an initial site, where the excitation is inserted to the sink, is generally inefficient due to the inhibition of transport by localization of the excitation wave packet in a symmetric, fully-connected network. We demonstrate that the EET efficiency can be significantly increased up to ≈100% by perturbing hopping transport between the initial node and the one connected directly to the sink, while the rate of energy transport is highest at a finite value of the hopping parameter. We also show that prohibiting hopping between the other nodes which are not directly linked to the sink does not improve the efficiency. We show that external dephasing
noise in the network plays a constructive role for EET in the presence of localization in the network, while in the absence of localization it reduces the efficiency of EET. We also consider the influence of off-diagonal disorder in the hopping parameters of the network.
Funding
T.A-N. has been supported in part by the Academy of Finland through its COMP CoE Grant Nos. 251748 and 284621.
History
School
- Science
Department
- Mathematical Sciences
Published in
European Physical Journal BVolume
90Issue
6Citation
BASSEREH, H. ... et al, 2017. Perfect quantum excitation energy transport via single edge perturbation in a complete network. European Physical Journal B, 90 (111).Publisher
© EDP Sciences, Societa Italiana di Fisica, Springer-VerlagVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2017-04-19Publication date
2017-06-14Copyright date
2017Notes
The final publication is available at Springer via http://dx.doi.org/10.1140/epjb/e2017-80048-1ISSN
1434-6028eISSN
1434-6036Publisher version
Language
- en