Perfect quantum excitation energy transport via single edge perturbation in a complete network

Bassereh, Hassan; Salari, Vahid; Shahbazi, Farhad; Ala-Nissilä, Tapio

doi:10.1140/epjb/e2017-80048-1

Cited by 3 publications

(9 citation statements)

References 37 publications

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“…It is obvious that link removal, on average, increases the efficiency independent of the environmental model which was also reported in Refs. [8,12,15,20]. In all four cases, the highest efficiency is found when only the single link between the source and the sink nodes is removed, which contrasts with the results reported in Ref.…”

Section: Transport Efficiency and Environmental Modelscontrasting

confidence: 94%

“…Studies on basic interaction networks, such as linear, star or completely connected graphs -without any external disturbance -could be carried out analytically and provide basic understanding on the role of interference in the transportation of an excitation or a state from a source node to the sink node. References [8,12,15,20] have shown that the efficiency of excitation transport between any two nodes in a CCN of size N is inversely proportional to the number of nodes and could be increased to one by simply deleting the interaction between the source and the sink nodes. Using similar arguments, Bose et.…”

Section: Introductionmentioning

confidence: 99%

“…[9] have shown that the single link removal also allows perfect state transfer between the two nodes. The mechanism behind this counter-intuitive result is the elimination of destructive interference by removal of the single interaction [8,9,12,15,20]. The problem could also be addressed by using graph spectral theoretical concepts in terms of the eigenvalues and eigenvectors of the adjacency matrix A of the network.…”

Section: Introductionmentioning

confidence: 99%

“…[40] have shown that more complicated noise dependence of transport efficiency might be observed in the nearest neighbor interacting system when additional long-range hopping is added. Studies on the noise dependence of the quantum transport efficiency phenomenon in interaction networks have considered mostly static noise [5, 11, 14, 16-19, 21-24, 27-29, 32, 33, 36] or dephasing noise [6,8,10,11,13,14,20,24,26]. The effect of dynamical noise on the transport efficiency has been the subject of relatively fewer studies [25,29,35,41,42].…”

Section: Introductionmentioning

confidence: 99%

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Quantum transport efficiency in noisy random-removal and small-world networks

Kurt¹,

Rossi²,

Piilo³

2022

Preprint

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We report the results of an in-depth study of the role of graph topology on quantum transport efficiency in random removal and Watts-Strogatz networks. By using four different environmental models -noiseless, driving by classical random telegraph noise (RTN), thermal quantum bath, and bath+RTN -we compare the role of the environment and of the change in network topology in determining the quantum transport efficiency. We find that small and specific changes in network topology is more effective in causing large change in efficiency compared to that achievable by environmental manipulations for both network classes. Furthermore, we have found that noise dependence of transport efficiency in these networks can be categorized into six classes. In general, our results highlight the interplay that network topology and environment models play in quantum transport, and pave the way for transport studies for networks of increasing size and complexity -when going beyond so far often used few-site transport systems.

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Section: Transport Efficiency and Environmental Modelscontrasting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantum transport efficiency in noisy random-removal and small-world networks

Kurt¹,

Rossi²,

Piilo³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Studies on basic interaction networks, such as linear, star or completely connected graphs-without any external disturbance-could be carried out analytically and provide basic understanding on the role of interference in the transportation of an excitation or a state from a source node to the sink node. References [8,12,15,20] have shown that the efficiency of excitation transport between any two nodes in a CCN of size N is inversely proportional to the number of nodes and could be increased to one by simply deleting the interaction between the source and the sink nodes. Using similar arguments, Bose et al [9] have shown that the single link removal also allows perfect state transfer between the two nodes.…”

Section: Introductionmentioning

confidence: 99%

Quantum transport efficiency in noisy random-removal and small-world networks

Kurt

Rossi²,

Piilo³

2023

J. Phys. A: Math. Theor.

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We report the results of an in-depth study of the role of graph topology on quantum transport eﬃciency in random removal and Watts-Strogatz networks. By using four diﬀerent environmental models – noiseless, driving by classical random telegraph noise (RTN), thermal quantum bath, and bath+RTN – we compare the role of the environment and of the change in network topology in determining the quantum transport eﬃciency. We ﬁnd that small and speciﬁc changes in network topology is more eﬀective in causing large change in eﬃciency compared to that achievable by environmental manipulations for both network classes. Furthermore, we have found that noise dependence of transport eﬃciency in these networks can be categorized into six classes. In general, our results highlight the interplay that network topology and environment models play in quantum transport, and pave the way for transport studies for networks of increasing size and complexity – when going beyond so far often used few-site transport systems.

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Excitation energy transport with noise and disorder in a model of the selectivity filter of an ion channel

Jalalinejad¹,

Bassereh²,

Salari³

et al. 2018

J. Phys.: Condens. Matter

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A selectivity filter is a gate in ion channels that is responsible for the selection and fast conduction of particular ions across the membrane (with high throughput rates of 10 ions s and a high 1:10 discrimination rate between ions). It is made of four strands as the backbone, and each strand is composed of sequences of five amino acids connected by peptide units H-N-C=O in which the main molecules in the backbone that interact with ions in the filter are carbonyl (C=O) groups that mimic the transient interactions of ion with binding sites during ion conduction. It has been suggested that quantum coherence and possible emergence of resonances in the backbone carbonyl groups may play a role in mediating ion conduction and selectivity in the filter. Here, we investigate the influence of noise and disorder on the efficiency of excitation energy transfer (EET) in a linear harmonic chain of N = 5 sites with dipole-dipole couplings as a simple model for one P-loop strand of the selectivity filter backbone in biological ion channels. We include noise and disorder inherent in real biological systems by including spatial disorder in the chain, and random noise within a weak coupling quantum master equation approach. Our results show that disorder in the backbone considerably reduces EET, but the addition of noise helps to recover high EET for a wide range of system parameters. Our analysis may help for better understanding of the coordination of ions in the filter as well as the fast and efficient functioning of the selectivity filters in ion channels.

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Perfect quantum excitation energy transport via single edge perturbation in a complete network

Cited by 3 publications

References 37 publications

Quantum transport efficiency in noisy random-removal and small-world networks

Quantum transport efficiency in noisy random-removal and small-world networks

Quantum transport efficiency in noisy random-removal and small-world networks

Excitation energy transport with noise and disorder in a model of the selectivity filter of an ion channel

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