Lithography-free photonic chip offers speed and accuracy for artificial intelligence Penn NaturePhotonics
. The left column shows the simulated electric field amplitude with different input channels excited . The central column shows the evolution of power transmission. The right column is the target matrix and the evolution of the spatial imaginary index, the target and the simulated transmission matrix .. The same results in Supplementary Video 1 are reproduced using the online algorithm.
Input and output power for 128 vowel data are recorded in one training epoch for vowel recognition. The input signals are encoded by the light power in eight channels on the left, and the four outputs on the right correspond to the four vowel classes. Although the contrast in the outputs is not high for the one-layer network, the integrated powers at output ports yield a nearly perfect recognition accuracy.
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