Answers are grounded in this paper and cite their sources.
Explores nonlinear diffraction effects in optical fields, indicating potential for neuromorphic computing.
The linear transformation of optical fields during propagation poses a fundamental limitation for neuromorphic computing applications. In this paper, a realization of a nonlinear operator based on the diffraction of partially coherent light by an aperture partially covered with a binary phase grating is proposed. The dependence of the effective aperture width on the spatial coherence of the incident light produces a nonlinear behavior that formally introduces a nonlinear integration kernel into the propagation integral. The proposed concept is validated through numerical experiments performed using the PyWolf framework for partially coherent light propagation modeling. This coherence-induced nonlinearity, which effectively implements a nonlinear propagation kernel with an input-dependent transfer function, offers a viable pathway to overcome the limitations of purely linear diffractive networks and can be leveraged for constructing multilayer architectures.
No takes yet. Share an insight, caveat, or question.
Glukhov et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: