Lei Chen , Haichuan Li , Xiangyang Gong , Yu Zhong , Weibin Zhong , Gui-Shi Liu , Yaofei Chen , Yunhan Luo , Zhe Chen
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引用次数: 0
Abstract
Exceptional points (EPs) offer significant promise for metrology via enhanced sensing, and electronic resonators have recently emerged as key platforms for EP generation due to their compactness and cost-effective components. However, an electronic resonator supports one eigenmode and thus struggles to adopt the optical platform's strategy for two-dimensional EP expansion, limiting robustness against fabrication flaws and environmental fluctuations. We introduce an approach to achieve robust EPs within a single electronic resonator. Specifically, by injecting a stabilized sinusoidal signal, the four-wave mixing mechanism inside the resonator generates a synthesized mode with the inherent mode, and these two modes form an anti-parity-time symmetry. This approach eliminates the physical inter-resonator coupling and reduces the number of resonators (the degree of freedom for EP generation), resulting in robust EP generation. Benefiting from the robust arrangement, a pronounced nonlinear feature leads to more than 40 branches of EP2 degeneracy lifting (achieving more than 20-fold sensitivity enhancement relative to conventional EP sensors) and enables the first observation of chiral spectra as a unique EP degeneracy fingerprint. More critically, this approach offers a digitally controlled EP, offering real-time and continuous tuning of coupling strength. Benefiting from the tuning property, a 6-dB SNR improvement is achieved through stochastic resonance. This architecture facilitates a robust platform for EP-based sensing, unlocking opportunities to exploit EP functionalities.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.