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 EJ_P_1

Non-Hermitian focusing deep inside strongly disordered scattering media

Not Accessible

Your library or personal account may give you access

Abstract

The recent intense research in the newly founded area of PT-symmetric optics [1,2] has triggered a lot of attention in theoretical and experimental studies of non-Hermitian effects in photonics. In this context of composite photonic systems that contain gain and loss, we recently demonstrated for the first time the existence of so-called “constant-intensity waves” (or CI-waves) [3], which, in the presence of inhomogeneous gain-loss media, can evolve with constant intensity - a property known so far only for plane waves in free space. We show here that engineering the complex index of refraction on similar principles leads us also to other unexpected effects with novel functionalities. In particular, we construct specific index distributions that for one specific wavelength can cause strong focusing inside disordered media. Such a focusing is the result of the non-Hermitian interference of the modes of the medium and is impossible without loss and gain.

© 2017 IEEE

PDF Article
More Like This
Constant intensity waves and transmission through non-Hermitian disordered media

K. G. Makris, A. Brandstotter, P. Ambichl, Z. H. Musslimani, and S. Rotter
JTh2A.4 Frontiers in Optics (FiO) 2016

Broadband perfect transmission through non-Hermitian disordered media

K. G. Makris, A. Brandstötter, and S. Rotter
FF3H.7 CLEO: QELS_Fundamental Science (CLEO:FS) 2018

Two-Dimensional Constant-Intensity Waves in Non-Hermitian Scattering Media

K. G. Makris, A. Brandstötter, I. Kresic, and S. Rotter
JTu3A.36 Frontiers in Optics (FiO) 2019

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.