Semi‐Nonlinear Nanophotonic Waveguides for Highly Efficient Second‐Harmonic Generation

Abstract

Quadratic optical parametric processes form the foundation for various applications related to classical and quantum frequency conversion, and have attracted significant interest recently in on‐chip implementation. These processes rely on phase matching among the interacting guided modes, and refractive index engineering is a primary approach for this purpose. Unfortunately, modal phase‐matching approaches developed so far only produce parametric generation with fairly low efficiencies, due to the intrinsic modal mismatch of spatial symmetries. Here, a universal design and operation principle is proposed for highly efficient optical parametric generation on integrated photonic platforms. By breaking the spatial symmetry of the optical nonlinearity of the device, nonlinear parametric interactions can be dramatically enhanced. This principle is then employed to design and fabricate a heterogeneous titanium oxide/lithium niobate nanophotonic waveguide that is able to offer second‐harmonic generation with a theoretical normalized conversion efficiency as high as 2900, which enables the measurement of an experimental efficiency of 650, significantly beyond the reach of conventional modal phase‐matching approaches. Unlike nonlinearity domain engineering that is material selective, the proposed operation principle can be flexibly applied to any other on‐chip quadratic nonlinear platform, to support ultra‐highly efficient optical parametric generation.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 11, 2019
Source ID
10.1002/lpor.201800288

Entities

People

  • Hanxiao Liang
  • Mingxiao Li
  • Qiang Lin
  • Rui Luo
  • Yang He

Organizations

  • Defense Advanced Research Projects Agency
  • Defense Threat Reduction Agency
  • National Science Foundation
  • University of Rochester

Tags

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Electronics Engineering
  • Integrated Circuit Design and Technology.

Technology Areas

  • Quantum Computing