Quantum Plasmonics
File(s)Review21.pdf (1.48 MB)
Accepted version
Author(s)
Fitzgerald, JM
Narang, P
Craster, RV
Maier, SA
Giannini, V
Type
Journal Article
Abstract
Quantum plasmonics is an exciting subbranch of nanoplasmonics where the laws of quantum theory are used to describe light–matter interactions on the nanoscale. Plasmonic materials allow extreme subdiffraction confinement of (quantum or classical) light to regions so small that the quantization of both light and matter may be necessary for an accurate description. State-of-the-art experiments now allow us to probe these regimes and push existing theories to the limits which opens up the possibilities of exploring the nature of many-body collective oscillations as well as developing new plasmonic devices, which use the particle quality of light and the wave quality of matter, and have a wealth of potential applications in sensing, lasing, and quantum computing. This merging of fundamental condensed matter theory with application-rich electromagnetism (and a splash of quantum optics thrown in) gives rise to a fascinating area of modern physics that is still very much in its infancy. In this review, we discuss and compare the key models and experiments used to explore how the quantum nature of electrons impacts plasmonics in the context of quantum size corrections of localized plasmons and quantum tunneling between nanoparticle dimers. We also look at some of the remarkable experiments that are revealing the quantum nature of surface plasmon polaritons.
Date Issued
2016-08-04
Date Acceptance
2016-06-15
Citation
Proceedings of the IEEE, 2016, 104 (12), pp.2307-2322
ISSN
0018-9219
Publisher
IEEE
Start Page
2307
End Page
2322
Journal / Book Title
Proceedings of the IEEE
Volume
104
Issue
12
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
The Royal Society
European Office Of Aerospace Research & Developmen
Engineering & Physical Science Research Council (EPSRC)
The Leverhulme Trust
Grant Number
WM110079
FA8655-12-1-2054
EP/L024926/1
RPG-2016-064
Subjects
0801 Artificial Intelligence And Image Processing
0903 Biomedical Engineering
0906 Electrical And Electronic Engineering
Publication Status
Published