Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2013 Conference on Lasers and Electro-Optics - International Quantum Electronics Conference
  • (Optica Publishing Group, 2013),
  • paper IH_3_2

Magneto-Electric Antennas for Directed Light Emission

Not Accessible

Your library or personal account may give you access

Abstract

By directing light, optical antennas can enhance light-matter interaction and improve the efficiency of nanophotonic devices. Though several designs have been presented1, most of them have been scaled-down radio frequency antennas which have narrow bandwidths and are sensitive to the position of the coupled emitters. Here we present a magneto-electric antenna: by exploiting the interference between magnetic and electric modes in a split-ring resonator (SRR) we experimentally realize a compact and robust optical antenna which outperforms larger, multi-element antennas in both bandwidth and directionality.

© 2013 IEEE

PDF Article
More Like This
Planar optical antenna to direct light emission

S. Checcucci, P. E. Lombardi, S. Rizvi, F. Sgrignuoli, N. Gruhler, F. B. C. Dieleman, F. S. Cataliotti, W. H.P. Pernice, M. Agio, and C. Toninelli
FM4B.4 CLEO: QELS_Fundamental Science (CLEO:FS) 2016

Multipolar and Unidirectional Emission of Quantum Emitters Coupled to Optical Antennas

Alberto G. Curto, Giorgio Volpe, Tim H. Taminiau, Mark P. Kreuzer, Romain Quidant, and Niek F. van Hulst
QTu2F.2 Quantum Electronics and Laser Science Conference (CLEO:FS) 2012

High Purcell effect and directional emission for semi-conductor nanocrystals deterministically positionned in a plasmonic patch antenna

C. Belacel, B. Habert, F. Bigourdan, F. Marquier, S. Michaelis de Vasconcellos, X. Lafosse, L. Coolen, C. Schwob, C. Javaux, B. Dubertret, J.-J. Greffet, P. Senellart, and A. Maître
IH_3_4 International Quantum Electronics Conference (IQEC) 2013

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.