  The miniaturization and mobility of computer vision systems are limited by
the heavy computational burden and the size of optical lenses. Here, we propose
to use a ultra-thin diffractive optical element to implement passive optical
convolution. A division adjoint opto-electronic co-design method is also
proposed. In our simulation experiments, the first few convolutional layers of
the neural network can be replaced by optical convolution in a classification
task on the CIFAR-10 dataset with no power consumption, while similar
performance can be obtained.
