Recent advances in metamaterial integrated photonics

Author:

Cheben PavelORCID,Schmid Jens H.,Halir Robert1,Manuel Luque-González José1ORCID,Gonzalo Wangüemert-Pérez J.1ORCID,Melati Daniele2ORCID,Alonso-Ramos Carlos2

Affiliation:

1. Universidad de Málaga

2. Centre de Nanosciences et de Nanotechnologies

Abstract

Since the invention of the silicon subwavelength grating waveguide in 2006, subwavelength metamaterial engineering has become an essential design tool in silicon photonics. Employing well-established nanometer-scale semiconductor manufacturing techniques to create metamaterials in optical waveguides has allowed unprecedented control of the flow of light in photonic chips. This is achieved through fine-tuning of fundamental optical properties such as modal confinement, effective index, dispersion, and anisotropy, directly by lithographic imprinting of a specific subwavelength grating structure onto a nanophotonic waveguide. In parallel, low-loss mode propagation is readily obtained over a broad spectral range since the subwavelength periodicity effectively avoids losses due to spurious resonances and bandgap effects. In this review we present recent advances achieved in the surging field of metamaterial integrated photonics. After briefly introducing the fundamental concepts governing the propagation of light in periodic waveguides via Floquet–Bloch modes, we review progress in the main application areas of subwavelength nanostructures in silicon photonics, presenting the most representative devices. We specifically focus on off-chip coupling interfaces, polarization management and anisotropy engineering, spectral filtering and wavelength multiplexing, evanescent field biochemical sensing, mid-infrared photonics, and nonlinear waveguide optics and optomechanics. We also introduce a nascent research area of resonant integrated photonics leveraging Mie resonances in dielectrics for on-chip guiding of optical waves, with the first Huygens’ metawaveguide recently demonstrated. Finally, we provide a brief overview of inverse design approaches and machine-learning algorithms for on-chip optical metamaterials. In our conclusions, we summarize the key developments while highlighting the challenges and future prospects.

Funder

Ministeria de Ciencia e Innovación

European Union NextGeneration EU/PRTR

European Research Council

National Research Council of Canada

University of Malaga

University of Paris-Saclay

CNRS France

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

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