UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

How to suppress dark states in quantum networks and bio-engineered structures

Le, TP; Donati, L; Severini, S; Caruso, F; (2018) How to suppress dark states in quantum networks and bio-engineered structures. Journal of Physics A: Mathematical and Theoretical , 51 (36) , Article 365306. 10.1088/1751-8121/aad3e6. Green open access

[thumbnail of Le_2018_J._Phys._A%3A_Math._Theor._51_365306.pdf]
Preview
Text
Le_2018_J._Phys._A%3A_Math._Theor._51_365306.pdf - Published Version

Download (2MB) | Preview

Abstract

Transport across quantum networks underlies many problems, from state transfer on a spin network to energy transport in photosynthetic complexes. However, networks can contain dark subspaces that block the transportation, and various methods used to enhance transfer on quantum networks can be viewed as equivalently avoiding, modifying, or destroying the dark subspace. Here, we exploit graph theoretical tools to identify the dark subspaces and show that asymptotically almost surely they do not exist for large networks, while for small ones they can be suppressed by properly perturbing the coupling rates between the network nodes. More specifically, we apply these results to describe the recently experimentally observed and robust transport behaviour of the electronic excitation travelling on a genetically-engineered light-harvesting cylinder (M13 virus) structure. We believe that these mainly topological tools may allow us to better infer which network structures and dynamics are more favourable to enhance transfer of energy and information towards novel quantum technologies.

Type: Article
Title: How to suppress dark states in quantum networks and bio-engineered structures
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/1751-8121/aad3e6
Publisher version: https://doi.org/10.1088/1751-8121/aad3e6
Language: English
Additional information: Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10063626
Downloads since deposit
41Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item