Sorger AI- intext illustr (IMAGE)
Caption
pJTC Convolutional techniques. (a) Comparison of spatial convolution, Fourier electrical convolution, and Fourier optical convolution in terms of computational complexity. (b) Schematic of a JTC, demonstrating how it performs Fourier optical convolution by optically generating the Fourier transform of the combined input Signal and Kernel, detecting the intensity pattern, and producing the auto- and cross-correlation between Signal and Kernel. (c) Optical microscope image of the fabricated SiPh chiplet from AIM Photonics. (d) Comparison of the initial MNIST image (green line), the output after an ideal Fourier transform (blue line), the output after the actual on-chip lens Fourier transform (yellow line), and the calibrated output obtained from the actual on-chip lens after applying phase correction (pink line). (e) Confusion matrix shows the classification accuracy for 10,000 test MNIST images with 10 percent random temporal delay introduced in the input electrical signal, achieving total accuracy of 95.3 percent.
Credit
H. Yang et al., doi 10.1117/1.AP.7.5.056007
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