Jiang Hao, Chen Yinzhu, Guo Wenyu, Zhang Yan, Zhou Rigui, Gu Mile, Zhong Fan, Ni Zhenhua, Lu Junpeng, Qiu Cheng-Wei, Gao Weibo
School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, 639798, Singapore.
Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Nat Commun. 2024 Sep 27;15(1):8347. doi: 10.1038/s41467-024-52632-8.
Light encodes multidimensional information, such as intensity, polarization, and spectrum. Traditional extraction of this light information requires discrete optical components by subdividing the detection area into many "one-to-one" functional pixels. The broadband photodetection of high-dimensional optical information with a single integrated on-chip detector is highly sought after, yet it poses significant challenges. In this study, we employ a metasurface-assisted graphene photodetector, enabling to simultaneously detect and differentiate various polarization states and wavelengths of broadband light (1-8 μm) at the wavelength prediction accuracy of 0.5 μm. The bipolar polarizability empowered by this design allows to decouple multidimensional information (encompassing polarization and wavelength), which can be achieved by encoding vectorial photocurrents with varying polarities and amplitudes. Furthermore, cooperative multiport metasurfaces are adopted and boosted by machine learning techniques. It enables precise spin-wavelength differentiation over an extremely broad wavelength range (1-8 μm). Our innovation offers a recipe for highly compact and high-dimensional spectral-polarization co-detection.
光编码多维信息，如强度、偏振和光谱。传统的光信息提取需要通过将检测区域细分为许多“一对一”功能像素的离散光学组件。利用单个集成片上探测器对高维光信息进行宽带光电探测备受追捧，但也带来了重大挑战。在本研究中，我们采用了超表面辅助的石墨烯光电探测器，能够以0.5μm的波长预测精度同时检测和区分宽带光（1 - 8μm）的各种偏振态和波长。这种设计赋予的双极极化率能够解耦多维信息（包括偏振和波长），这可以通过用不同极性和幅度的矢量光电流进行编码来实现。此外，采用了协同多端口超表面并通过机器学习技术进行增强。它能够在极宽的波长范围（1 - 8μm）内实现精确的自旋 - 波长区分。我们的创新为高度紧凑的高维光谱 - 偏振联合检测提供了一种方法。
