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Integrated Photonic Reservoir Computing with All-Optical Readout

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arxiv 2306.15845 v1 pith:ESZSPIXL submitted 2023-06-28 physics.optics eess.SP

Integrated Photonic Reservoir Computing with All-Optical Readout

classification physics.optics eess.SP
keywords integratedphotonicreadoutreservoircomputingopticalsystemhardware
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Integrated photonic reservoir computing has been demonstrated to be able to tackle different problems because of its neural network nature. A key advantage of photonic reservoir computing over other neuromorphic paradigms is its straightforward readout system, which facilitates both rapid training and robust, fabrication variation-insensitive photonic integrated hardware implementation for real-time processing. We present our recent development of a fully-optical, coherent photonic reservoir chip integrated with an optical readout system, capitalizing on these benefits. Alongside the integrated system, we also demonstrate a weight update strategy that is suitable for the integrated optical readout hardware. Using this online training scheme, we successfully solved 3-bit header recognition and delayed XOR tasks at 20 Gbps in real-time, all within the optical domain without excess delays.

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