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Meta-Optics-Based Diffractive Learning Machine for Angle-Multiplexed Multi-Task Processing
All-optical diffractive neural networks (DNNs) offer low latency, low energy consumption, and massive parallelism. However, their scalability in terms of network scale and multi-task processing remains limited. Here, we experimentally demonstrate a large-scale metasurface-based diffractive learning
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