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Disorder-assisted quantum transport in suboptimal decoherence regimes

Novo, Leonardo, Mohseni, Masoud, Omar, Yasser·2016·Scientific Reports

Abstract

We investigate quantum transport in binary tree structures and in hypercubes for the disordered Frenkel-exciton Hamiltonian under pure dephasing noise. We compute the energy transport efficiency as a function of disorder and dephasing rates. We demonstrate that dephasing improves transport efficiency not only in the disordered case, but also in the ordered one. The maximal transport efficiency is obtained when the dephasing timescale matches the hopping timescale, which represent new examples of the Goldilocks principle at the quantum scale. Remarkably, we find that in weak dephasing regimes, away from optimal levels of environmental fluctuations, the average effect of increasing disorder is to improve the transport efficiency until an optimal value for disorder is reached. Our results suggest that rational design of the site energies statistical distributions could lead to better performances in transport systems at nanoscale when their natural environments are far from the optimal dephasing regime.

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  • Several investigations have studied the scalability of BosonSampling in imperfect conditions, including losses, partial distinguishability, and generic experimental errors.

    “Since then, several investigations have been performed to study the scalability in imperfect conditions, such as in the presence of losses [570-573], partial distinguishability [574,575] and generic experimental errors [571,[576][577][578]”

    From Photonic quantum information processing: a review (2019) · cites this paper as [571]

    The Abstract and Results discuss quantum transport in binary trees and hypercubes, including losses, disorder, and dephasing—not the scalability of BosonSampling. Searches for BosonSampling, partial distinguishability, and generic experimental errors found no passage addressing the attributed claim. Page numbers were not available in our copy. (LLM, conf=0.76)

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Research works printed but not linked: 30

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Metadata

Authors
Novo, L., Mohseni, M., & Omar, Y.
Venue
Scientific Reports
Published
2016-01-04
Volume
6
Issue
1
ISSN
2045-2322
Cited by
23
References
5
Language
en

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