发表机构
Universitat Jaume I（豪梅一世大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出一种光自由空间极限学习机，通过空间光调制器与相干波传播实现多种元胞自动机的模拟，构建了高效易实现的复杂计算系统平台。
AI 中文摘要
元胞自动机构成一类计算模型，其仅通过少量简单规则演化，却能展现出分形、通用计算等极为复杂的涌现现象。尽管表面简单，它们已在模拟自然系统、解决分类与图像生成等复杂计算任务中展现出巨大潜力。相较于仅在软件层面实现元胞自动机，设计遵循其底层规则进行物理演化的新型模拟计算平台，可降低功耗与延迟。本文提出一种用于模拟多种元胞自动机的光极限学习机，该系统工作于自由空间，利用空间光调制器编码系统演化规则，通过相干波传播完成对应计算。结果表明，该平台简单、完全可编程、成本与功耗高效，且易于构建与校准，可用于实现初等元胞自动机、康威生命游戏、二维图灵机等多种复杂计算系统。
英文摘要
Cellular automata conform a set of computational models which evolve with a reduced set of simple rules, yet still are able to show extremely complex emergent phenomena such as fractals and universal computation. Despite their apparent simplicity, they have shown great potential in simulating natural systems and solving challenging computational tasks such as classification and image generation. Instead of implementing cellular automata purely at the software level, it is desirable to design novel analog computing platforms that physically evolve following the automata's underlying rules, thereby reducing power requirements and latency. Here, we introduce an optical extreme learning machine for the simulation of a wide range of cellular automata. Our system operates in free space, and uses a spatial light modulator to encode the evolution rules of the system, while coherent wave propagation performs the corresponding computations. Our results demonstrate a simple, fully-programmable, cost and power efficient, and easy to build and align platform for the implementation of a wide range of complex computational systems such as elementary cellular automata, Conway's Game of Life, and two-dimensional Turing machines.
Comments17 pages, 6 figures, preprint
