arXiv:2505.04405physics.opticscs.AI2025-05

用纳米天线实现光域时间积分,突破传统光计算维度瓶颈。

All-optical temporal integration mediated by subwavelength heat antennas

  • 通过驻波场中钛纳米天线的热光调制,实现全光时域积分
  • 单框架处理超25万维输入向量,支持50GHz超快信号处理
  • 兼具可编程非线性激活函数,适合大规模智能计算场景

光学计算系统在标量运算中具备无与伦比的处理速度,但集成实现受限于低维张量操作,难以满足现代人工智能对向量维度的需求。本文展示了一种基于时分复用的全光类脑计算系统,可在统一框架内处理超过25万元素的输入向量。该平台利用驻波光场中的光驱动热光调制,钛纳米天线作为波长选择性吸收体。反直觉的是,系统的热时间动态使超快(50GHz)信号的时间积分与可编程非线性激活函数的应用能够在完全光域内同时实现。这一统一框架标志着向满足人工智能工作负载维度需求的大规模光子计算迈出了关键一步。

原文摘要 · Abstract (English)

Optical computing systems deliver unrivalled processing speeds for scalar operations. Yet, integrated implementations have been constrained to low-dimensional tensor operations that fall short of the vector dimensions required for modern artificial intelligence. We demonstrate an all-optical neuromorphic computing system based on time division multiplexing, capable of processing input vectors exceeding 250,000 elements within a unified framework. The platform harnesses optically driven thermo-optic modulation in standing wave optical fields, with titanium nano-antennas functioning as wavelength-selective absorbers. Counterintuitively, the thermal time dynamics of the system enable simultaneous time integration of ultra-fast (50GHz) signals and the application of programmable, non-linear activation functions, entirely within the optical domain. This unified framework constitutes a leap towards large-scale photonic computing that satisfies the dimensional requirements of AI workloads.

光计算类脑芯片热光调制向量处理

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