AI RESEARCH
ReDON: Recurrent Diffractive Optical Neural Processor with Reconfigurable Self-Modulated Nonlinearity
arXiv CS.AI
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ArXi:2602.23616v3 Announce Type: replace-cross Diffractive optical neural networks (DONNs) have nstrated unparalleled energy efficiency and parallelism by processing information directly in the optical domain. However, their computational expressivity is constrained by static, passive diffractive phase masks that lack efficient nonlinear responses and reprogrammability. To address these limitations, we