Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2017 European Conference on Lasers and Electro-Optics and European Quantum Electronics Conference
  • (Optica Publishing Group, 2017),
  • paper JSIV_3_4

CLEO®/Europe-EQEC 2017 Optical Chern Insulators from Conical Refraction

Not Accessible

Your library or personal account may give you access

Abstract

In a biaxial birefringent crystal there are two directions at which the refractive index surfaces intersect, leading to the phenomenon of conical refraction [1]. These conical intersections are analogs of Dirac points, and are generically present in non-chiral optical materials. One of the most interesting aspects of Dirac points is that they carry an associated topological charge. As such the propagation of light through a periodic biaxial crystal is related to a periodic electronic system supporting multiple Dirac points in the first Brillouin zone. Since Dirac points carry topological charge it is natural to ask whether we could gap this system in such a way as to leave a topologically interesting result. We show that this is indeed possible, and that opening a gap using the Faraday effect can lead to a form of optical topological insulator. This is a novel realisation of a photonic topological insulator, as it dos not rely on the use of a specific lattice [2] to produce multiple Dirac points, but instead exploits the ubiquitous polarization degeneracies of optical materials.

© 2017 IEEE

PDF Article
More Like This
CLEO®/Europe-EQEC 2017 Shock Waves’ Squeezing

Maria Chiara Braidotti, Antonio Mecozzi, and Claudio Conti
EJ_2_1 European Quantum Electronics Conference (EQEC) 2017

CLEO®/Europe-EQEC 2017 Chitosan Membranes for Biodegradable Microfluidics

Neelam Iqbal, Antonios D Anastasiou, Mostafa El-Raif, and Animesh Jha
CM_P_23 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2017

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.