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arXiv 2602.01455physics.optics
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基于光和物质拓扑结构的可编程逻辑数组

Topologically robust programmable logic arrays using light and matter skyrmions

Department of Engineering Science, University of Oxford(牛津大学工程系);Tsinghua University(清华大学)

Ruofu Liu, An Aloysius Wang, Yunqi Zhang, Yuxi Cai, Yihan Liu, Zhenglin Li, Yifei Ma, Zimo Zhao, Runchen Zhang, Zhi-Kai Pong, Stephen M. Morris, Chao He

AI总结:

本文提出了一种基于光和物质拓扑结构的可编程逻辑数组架构,利用拓扑稳健的光学原语实现高效计算并验证其鲁棒性。

摘要:

光子计算提供了一种低功耗、高带宽的信息处理范式;然而,传统架构的模拟性质意味着内在噪声和制造缺陷极大地影响性能,从而严重限制了可扩展性。最近关于光学涡旋的研究提供了一种克服这些限制的途径,通过利用分配给光学场的拓扑不变量进行计算。关键的是,由于其相对新颖性,将单独组件整合到功能性系统中的建筑观点仍然是一个重要开放目标。在本文中,我们通过引入一个平台无关的基于涡旋的逻辑架构,采取了具体的步骤,该架构围绕一个模块化的拓扑稳健光学原语库构建,包括生成器、转换器、寄存器和加法器。该框架使拓扑数的合成和算术操作能够在统一的可编程架构中进行。然后,我们通过多通道阵列实验验证了这种方法,展示了准确的电荷读取和对对齐误差和环境噪声的高鲁棒性。这些结果为拓扑稳健的可编程逻辑数组提供了可扩展的基础,为紧凑且集成的光子处理电路铺平了道路。

英文摘要:

Photonic computing offers a low-power, high-bandwidth paradigm for information processing; however, the analogue nature of conventional architectures means that intrinsic noise and fabrication imperfections greatly impact performance, thereby severely limiting scalability. Recent work on optical skyrmions offers a route to overcoming these limitations by exploiting perturbation-resilient topological invariants assigned to the optical field for computation. Crucially, owing to its relative novelty, an architectural perspective on integrating individual components that manipulate topological charge into a functional system remains an important open goal. In this paper, we take concrete steps toward system-level design by introducing a platform-independent architecture for skyrmion-based logic, built around a modular library of topologically robust optical primitives, including generators, converters, registers, and adders. This framework enables the synthesis and arithmetic manipulation of topological numbers within a unified programmable architecture. We then experimentally validate this approach using multichannel arrays, demonstrating accurate charge readout and high robustness against alignment errors and environmental noise. These results provide a scalable foundation for topologically robust programmable logic arrays, paving the way for compact and integrated photonic processing circuits.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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