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Manifold partitioning induced sequential optical reasoning and decision framework for photonic computing

arXiv:2606.01616v1 Announce Type: new Abstract: Real-world data are intrinsically embedded in highly entangled manifolds, making the extraction of separable representations a central challenge for artificial intelligent (AI) systems. While optical neural networks (ONNs) offer ultrafast and energy-efficient data processing, their capacity is constrained by limited physical depth. Here, we introduce a sequential optical reasoning and decision (SORD) framework, an architecture that performs...

arXiv Physics 8d ago