Bragg-grating engineering enables deterministic resonance control in an on-chip THz filter
Abstract
On-chip filters are important for integrated terahertz (THz) communication and sensing systems. Deterministic control of resonance multiplicity in compact devices enables flexible spectral filtering. Here, we experimentally demonstrate an on-chip silicon THz filter based on a Bragg-grating-assisted Fabry–Pérot cavity, in which the resonance multiplicity is governed by the relation between the Bragg stopband and the cavity free spectral range (FSR). By engineering this stopband–FSR relation, single-, double-, and triple-resonance states are achieved within the 360–390 GHz band, with a packaged insertion loss of approximately 6 dB. The single-resonance device exhibits a through-port transmission minimum approaching −40 dB and a loaded quality factor of QL = 809.5. This work provides a compact strategy for deterministic spectral-state engineering in integrated THz filters.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (16)
Bingnan Yan
Xu Yan
Department of Orthopaedics and Traumatology
Xuecou Tu
Hongshan Jing
Research Institute of Superconductor Electronics (RISE), School of Electronic Science and Engineering, Nanjing University 1 , Nanjing, Jiangsu 210023,
Cheng Liang
Baoran Lai
Research Institute of Superconductor Electronics (RISE), School of Electronic Science and Engineering, Nanjing University 1 , Nanjing, Jiangsu 210023,
Zhanzhang Mai
Research Institute of Superconductor Electronics (RISE), School of Electronic Science and Engineering, Nanjing University 1 , Nanjing, Jiangsu 210023,
Yunjie Rui
Research Institute of Superconductor Electronics (RISE), School of Electronic Science and Engineering, Nanjing University 1 , Nanjing, Jiangsu 210023,
Dingxuan Gu
Research Institute of Superconductor Electronics (RISE), School of Electronic Science and Engineering, Nanjing University 1 , Nanjing, Jiangsu 210023,
Chao Wan
Qingyuan Zhao
Labao Zhang
Xiaoqing Jia
Lin Kang
Jian Chen
Peiheng Wu