光子时序逻辑电路用于有状态智能

中文摘要 AI 辅助

凭借其高能量效率和超低延迟，光学计算在后摩尔时代被视为极具前景的计算范式。然而，为下一代人工智能范式（从大型语言模型（LLM）到实时自主系统）构建图灵完备的光学计算，不仅需要无状态函数映射单元，还需要能够存储历史状态和处理动态数据流的时序逻辑电路。当前的光子处理器缺乏这种时间记忆，而最先进的光学时序方案由于信号衰减和缺乏可编程时钟控制而仍不实用。在此，我们提出一种光子时序逻辑电路（PSLC）来解决这一基本挑战。利用独特设计的有源光电反馈网络，我们构建了完整的光子时序逻辑器件家族，全面涵盖置位-复位锁存器、D锁存器和边沿触发的主从D触发器。我们进一步构建了光子序列检测器和异步计数器，验证了该架构执行同步和异步时序任务的能力及其系统级可扩展性。最终，通过将所构建的PSLC与无状态函数映射单元相结合，我们建立了一种用于有状态智能的通用硬件范式。我们通过在物理域中执行高可靠性的实时无人机避障，以及在符号域中生成莎士比亚风格文本来验证该范式。这项工作为光学计算实现有状态计算提供了关键缺失的拼图，为迈向图灵完备的光学计算奠定了坚实的硬件基础。

英文摘要

By virtue of its high energy efficiency and ultra-low latency, optical computing is regarded as a highly promising computing paradigm in the post-Moore era. However, constructing a Turing-complete optical computing for next-generation AI paradigms, from large language models (LLMs) to real-time autonomous systems, requires not only stateless function mapping units, but also sequential logic circuits capable of storing historical states and processing dynamic data streams. Current photonic processors lack this temporal memory, and the state-of-the-art optical sequential schemes remain impractical due to signal attenuation and the absence of programmable clock control. Here, we propose a photonic sequential logic circuits (PSLC) to resolve this fundamental challenge. Leveraging a uniquely designed active optoelectronic feedback network, we construct a complete family of photonic sequential logic devices, comprehensively encompassing set-reset latches, D latches, and edge-triggered master-slave D flip-flops. We further construct photonic sequence detectors and asynchronous counters, verifying the capability of the architecture to execute both synchronous and asynchronous sequential tasks, alongside its system-level scalability. Ultimately, by combining the constructed PSLC with stateless function mapping units, we establish a universal hardware paradigm for stateful intelligence. We validate this paradigm by executing highly reliable real-time drone obstacle avoidance in the physical domain, alongside Shakespearean-style text generation in the symbolic domain. This work provides the crucial missing piece of the puzzle for optical computing to achieve stateful computing, establishing a definitive hardware foundation for advancing toward Turing-complete optical computing.

发表机构

• Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology（华中科技大学武汉光电国家研究中心）
• Optics Valley Laboratory（光谷实验室）
• Hubei Jiufengshan Laboratory（湖北九峰山实验室）

机构由 AI 辅助整理，请以论文原文为准。