Level attraction and PT symmetry in indirectly coupled microresonators

Zhao-Hui Peng, Chun-Xia Jia, Yu-Qing Zhang, Ji-Bing Yuan, and Le-Man Kuang
Phys. Rev. A 102, 043527 – Published 28 October 2020

Abstract

Benefiting from the tunability of their phase delay and gain, we show the possibility of realizing level attraction, parity-time (PT)-, and anti-PT-symmetric photonic structures with indirectly coupled active and passive microresonators mediated by drop-filter waveguides. We find that level attraction originates from two mechanisms, i.e., exceptional point and resonance, and it may emerge not only for dissipative coupling but also coherent coupling and hybrid coupling after considering the gain and loss of microresonators, which confirms the universality of level attraction in the coupled photonic system. On the other hand, the transition from PT to anti-PT symmetry or vice versa may be realizable by tuning their phase delay and gain; thus the indirectly coupled microresonators may provide an excellent platform for exhibiting the unique features of PT and anti-PT symmetry. Furthermore, we also reveal the intrinsic relationship of the line shape and phase behavior of the reflection spectrum with PT symmetry, anti-PT symmetry, and level attraction.

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  • Received 11 May 2020
  • Accepted 12 October 2020

DOI:https://doi.org/10.1103/PhysRevA.102.043527

©2020 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & Optical

Authors & Affiliations

Zhao-Hui Peng1,*, Chun-Xia Jia1,2, Yu-Qing Zhang1, Ji-Bing Yuan3, and Le-Man Kuang2,†

  • 1Institute of Modern Physics and Department of Physics, College of Physics and Electronic Science, Hunan University of Science and Technology, Xiangtan 411201, China
  • 2Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education, Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications, Hunan Normal University, Changsha 410081, China
  • 3College of Physics and Electronic Engineering, and Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang Normal University, Hengyang 421008, China

  • *raul121991@126.com
  • lmkuang@hunnu.edu.cn

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Issue

Vol. 102, Iss. 4 — October 2020

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