Qian Na, Zhou Defu, Shu Haowen, Zhang Ming, Wang Xingjun, Dai Daoxin, Deng Xiao, Zou Weiwen
State Key Laboratory of Advanced Optical Communication Systems and Networks, Intelligent Microwave Lightwave Integration Innovation Center (imLic), Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China.
State Key Laboratory of Advanced Optical Communications System and Networks, Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, Beijing, China.
Light Sci Appl. 2025 Feb 7;14(1):71. doi: 10.1038/s41377-025-01753-w.
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 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 architecture, we anticipate that the proposed APP will accelerate the development of powerful opto-electronic processors as critical support for applications such as satellite networks and intelligent driving.
在不同信息系统之间共享硬件平台以实现不同功能之间的全面合作已引起了广泛关注。然而，由于电子电路的带宽和计算速度限制，具有大工作频率范围的宽带多功能集成系统具有挑战性。在此，我们报道了一种基于硅光子平台的模拟并行处理器（APP），它在模拟域中直接对宽带信号进行离散化和并行化处理。该APP首先利用光学频率梳对信号进行离散化，然后采用光学动态相位干涉将模拟信号重新分配为2个并行序列。通过光子模拟并行性，每个序列中的数据速率和数据量同时被压缩，这减轻了对每个并行计算核心的要求。此外，每个计算核心输出的融合等同于直接处理宽带信号。在概念验证实验中，在单个光子集成电路上实现了宽带雷达信号和高速通信信号的双通道模拟并行处理。宽带雷达信号的带宽为6 GHz，实现了2.69 cm的距离分辨率。还验证了8 Gbit/s的无线通信速率。突破单计算核心的带宽和速度限制，并进一步探索该架构的多通道潜力，我们预计所提出的APP将加速强大的光电处理器的发展，为卫星网络和智能驾驶等应用提供关键支持。
