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重构特殊系统中的超灵敏度。

Ultra-sensitivity in reconstructed exceptional systems.

作者信息

Chen Tian, Zou Deyuan, Zhou Zilong, Wang Ruiguo, Feng Yue, Sun Houjun, Zhang Xiangdong

机构信息

Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics & Ultrafine Optoelectronic Systems, and School of Physics, Beijing Institute of Technology, Beijing 100081, China.

School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Natl Sci Rev. 2024 Aug 16;11(12):nwae278. doi: 10.1093/nsr/nwae278. eCollection 2024 Dec.

Abstract

Sensors are of fundamental importance and widely used in modern society, such as in industry and environmental monitoring, biomedical sample ingredient analysis and wireless networks. Although numerous sensors have been developed, there is a continuous demand for sensors with increased sensitivity, to detect signals that were previously undetectable. Recently, non-Hermitian degeneracies, also known as exceptional points (EPs), have attracted attention as a way of improving the responsiveness of sensors. In contrast to previous investigations, here we present a new approach to achieving ultra-sensitivity by reconstructing exceptional systems. In the reconstruction process, some eigenstates near the previous EPs are utilized, and non-reciprocal long-range couplings are introduced. The sensitivities of our reconstructed systems have improved by several orders of magnitude compared to those based on EPs. Furthermore, we design and fabricate corresponding integrated circuit sensors to demonstrate the scheme. Our work paves the way for the development of highly sensitive sensors, which have a wide range of applications in various fields.

摘要

传感器至关重要,在现代社会中广泛应用,如工业、环境监测、生物医学样本成分分析及无线网络领域。尽管已研发出众多传感器,但对灵敏度更高的传感器仍有持续需求,以便检测先前无法检测到的信号。近来,非厄米简并,即所谓的奇异点(EPs),作为提高传感器响应能力的一种方式而受到关注。与先前的研究不同,在此我们提出一种通过重构奇异系统实现超灵敏度的新方法。在重构过程中,利用先前奇异点附近的一些本征态,并引入非互易长程耦合。与基于奇异点的系统相比,我们重构系统的灵敏度提高了几个数量级。此外,我们设计并制造了相应的集成电路传感器来演示该方案。我们的工作为高灵敏度传感器的发展铺平了道路,这类传感器在各个领域都有广泛应用。

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