TY - JOUR
T1 - Quantum transport efficiency in noisy random-removal and small-world networks
AU - Kurt, Arzu
AU - Rossi, Matteo A.C.
AU - Piilo, Jyrki
N1 - Funding Information:
A K acknowledges support from the Scientific and Technological Research Council of Turkey (TUBITAK) Project No:1002-120F011. M A C R acknowledges financial support from the Academy of Finland via the Centre of Excellence program (Project No. 336810).
Publisher Copyright:
© 2023 The Author(s). Published by IOP Publishing Ltd.
PY - 2023/4/11
Y1 - 2023/4/11
N2 - 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, driven 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 Watts-Strogatz 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.
AB - 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, driven 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 Watts-Strogatz 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.
KW - complex quantum networks
KW - open quantum systems
KW - quantum transport
UR - http://www.scopus.com/inward/record.url?scp=85150423784&partnerID=8YFLogxK
U2 - 10.1088/1751-8121/acc0ec
DO - 10.1088/1751-8121/acc0ec
M3 - Article
AN - SCOPUS:85150423784
SN - 1751-8113
VL - 56
SP - 1
EP - 17
JO - Journal of Physics A: Mathematical and Theoretical
JF - Journal of Physics A: Mathematical and Theoretical
IS - 14
M1 - 145301
ER -