Analog parallel processor for broadband multifunctional integrated system based on silicon photonic platform

作者：Na Qian, Defu Zhou, Haowen Shu, Ming Zhang, Xingjun Wang, Daoxin Dai, Xiao Deng, Weiwen Zou · 发表于：Light Science & Applications · 年份：2025 · DOI：10.1038/s41377-025-01753-w · 被引用次数：15 · 研究领域：Neural Networks and Reservoir Computing、Optical Network Technologies、Advanced Photonic Communication Systems

Abstract Sharing the hardware platform between diverse information systems to establish full cooperation among different functionalities has attracted substantial attention. However, broadband multifunctional integrated systems with large operating frequency ranges are challenging due to the bandwidth and computing speed restrictions of electronic circuitry. Here, we report an analog parallel processor (APP) based on the silicon photonic platform that directly discretizes and parallelizes the broadband signal in the analog domain. The APP first discretizes the signal with the optical frequency comb and then adopts optical dynamic phase interference to reassign the analog signal into 2 N parallel sequences. Via photonic analog parallelism, data rate and data volume in each sequence are simultaneously compressed, which mitigates the requirement on each parallel computing core. Moreover, the fusion of the outputs from each computing core is equivalent to directly processing broadband signals. In the proof-of-concept experiment, two-channel analog parallel processing of broadband radar signals and high-speed communication signals is implemented on the single photonic integrated circuit. The bandwidth of broadband radar signal is 6 GHz and the range resolution of 2.69 cm is achieved. The wireless communication rate of 8 Gbit/s is also validated. Breaking the bandwidth and speed limitations of the single-computing core along with further exploring the multichannel potential of this...