Figure 2 | Sensitivity analysis of optical network models to lateral alignment errors. (IMAGE)
Caption
Figure 2 | Sensitivity analysis of optical network models to lateral alignment errors. (a) An illustrative scenario for demonstrating the propagation of light through a multi-layered optical network, where lateral misalignments (Δx, Δy) are introduced between consecutive diffractive layers, and the Fresnel propagation governs the wavefront evolution. (b) The impact of lateral misalignment (Δx, Δy) on the classification accuracy for the traditional model, revealing a sharp decline in performance as the positional deviation increases from the origin. (c) The impact of lateral misalignment (Δx, Δy) on the classification accuracy for the proposed B-ONN model, demonstrating significantly higher tolerance and robustness against positional variations while maintaining high accuracy.
Credit
Min Gu et al.
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CC BY