Non-resonant exceptional points as enablers of noise-resilient sensors
Non-resonant exceptional points as enablers of noise-resilient sensors
复制标题
非谐振异常点作为抗噪声传感器的推动者
DOI:
10.1038/s42005-022-00973-5
复制
发表时间:
2022
影响因子:
5.5
通讯作者:
Kottos, Tsampikos
中科院分区:
文献类型:
--
作者:
Tuxbury, William;Kononchuk, Rodion;Kottos, Tsampikos
Exceptional point degeneracies (EPDs) in the resonant spectrum of non-Hermitian systems have been recently employed for sensing due to the sublinear response of the resonance splitting when a perturbant interacts with the sensor. The sublinear response provides high sensitivity to small perturbations and a large dynamic range. However, the resonant-based EPD sensing abides to the resolution limit imposed by the resonant quality factors and by the signal-to-noise ratio reduction due to gain-elements. Moreover, it is susceptible to local mechanical disturbances and imperfections. Here, we propose a passive non-resonant (NR) EPD-sensor that is resilient to losses, local cavity variations, and noise. The NR-EPD describes the coalescence of Bloch eigenmodes associated with the spectrum of transfer matrices of periodic structures. This coalescence enables scattering cross-section cusps with a sublinear response to small detunings away from an NR-EPD. We show that these cusps can be utilized for enhanced noise-resilient sensing.
登录
查看更多内容
影响因子:
13.6
作者:
Kononchuk R;Feinberg J;Knee J;Kottos T
通讯作者:
Kottos T
影响因子:
64.8
作者:
Chen, Weijian;Ozdemir, Sahin Kaya;Yang, Lan
通讯作者:
Yang, Lan
影响因子:
64.8
作者:
Pichler, Kevin;Kuhmayer, Matthias;Rotter, Stefan
通讯作者:
Rotter, Stefan
影响因子:
34.3
作者:
Chen, Pai-Yen;Sakhdari, Maryam;Alu, Andrea
通讯作者:
Alu, Andrea