Abstract

Diffractive neural networks enable robust three-dimensional beam shaping by treating systems of cascading diffractive optical elements as artificial neural networks, enabling the usage of neural network training methods for the design. Here, we demonstrate how this can be used to create intensity distributions with a large depth-of-field in an experimental realization through spatial light modulators.

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