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<p>Structured beams endowed with topological charges and singularities show great potential for both classical and quantum information encoding. While manipulation of topological charges is well-established, information carriers based on topological invariants governing singularity evolution—optical links and knots—remain underexplored. The fundamental limitation lies in detection bandwidth: resolving singularities behaving like optical darkness through conventional intensity localization demands prohibitive exposure times, thereby constraining the transmission rates. To address this issue, we introduce a neuromorphic approach—Logarithmic Intensity Gradient Handling Technology for Event-based Links-and-knots Formation (LightELF)—which enables&#xa0;microsecond-level asynchronous spatial readout of sparse singularities. By fusing logarithmic gradient sampling with the superoscillating nature of singularities, LightELF reconstructs links and knots without post-processing while achieving orders-of-magnitude data reduction. Moreover, we demonstrate a topological binary signal processing chain integrating a high-throughput transmitter with our neuromorphic detector. This work establishes optical links and knots as viable information carriers, pioneering event sensing in topological photonics and providing a neuromorphic signal framework for optical information processing.</p>

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Neuromorphic vision of optical darkness for high-throughput topological knot signal processing

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月23日

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  • Zhe Weng,
  • Yiyu Zhao,
  • Xian Long,
  • Wenxiang Yan,
  • Zhi-Cheng Ren,
  • Xi-Lin Wang,
  • Jianping Ding,
  • Hui-Tian Wang

摘要

Structured beams endowed with topological charges and singularities show great potential for both classical and quantum information encoding. While manipulation of topological charges is well-established, information carriers based on topological invariants governing singularity evolution—optical links and knots—remain underexplored. The fundamental limitation lies in detection bandwidth: resolving singularities behaving like optical darkness through conventional intensity localization demands prohibitive exposure times, thereby constraining the transmission rates. To address this issue, we introduce a neuromorphic approach—Logarithmic Intensity Gradient Handling Technology for Event-based Links-and-knots Formation (LightELF)—which enables microsecond-level asynchronous spatial readout of sparse singularities. By fusing logarithmic gradient sampling with the superoscillating nature of singularities, LightELF reconstructs links and knots without post-processing while achieving orders-of-magnitude data reduction. Moreover, we demonstrate a topological binary signal processing chain integrating a high-throughput transmitter with our neuromorphic detector. This work establishes optical links and knots as viable information carriers, pioneering event sensing in topological photonics and providing a neuromorphic signal framework for optical information processing.