Figure1 | Comparison of scaling limitations in existing ONNs and the proposed solution. (IMAGE)

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS

Figure1 | Comparison of scaling limitations in existing ONNs and the proposed solution.

Caption

Figure1 | Comparison of scaling limitations in existing ONNs and the proposed solution.  a, Scaling challenges in current on-chip ONNs, including depth and input size limitations. The depth limitation arises from NAFs lacking net gain or requiring electrical amplification. The input size limitation is constrained by the need for coherent detection in coherent computing and multiple wavelengths in incoherent computing. b, The proposed partially coherent deep optical neural network, which overcomes these limitations by enabling scalable depth and input size expansion.

Credit

Hailong Zhou et al.

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