Topologically robust programmable logic arrays using light and matter skyrmions
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

TL;DR
This paper introduces a modular, topologically robust optical logic architecture using skyrmions, demonstrating its potential for scalable, noise-resistant photonic computing systems.
Contribution
It presents a system-level architecture for skyrmion-based optical logic with a library of primitives, validated through experiments showing robustness and accurate charge readout.
Findings
Successful experimental validation of skyrmion-based logic primitives
High robustness against alignment errors and environmental noise
Scalable framework for integrated photonic processing circuits
Abstract
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,…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Photonic and Optical Devices · Topological Materials and Phenomena
