Optoelectronic Reservoir Computing with an On-Chip True-Time-Delay Element
arXiv:2609.05907
Abstract
Compact delay elements remain a central challenge in photonic neuromorphic processors. Here, we demonstrate an optoelectronic delayed-feedback reservoir computer that incorporates a foundry-fabricated silicon nitride (SiN) true-time-delay circuit within its feedback loop. Eight cascaded Archimedean spirals provide a \SI{1.76}{\metre} on-chip optical path and a calculated passive group delay of \SI{11.63}{\nano\second}. At a feedback gain of , the system classifies sinusoidal and square waveforms without error (word error rate, WER\,\,0 across all cross-validation folds), predicts the Mackey--Glass chaotic series with a best-fold normalized mean-square error (NMSE) of , and performs nine-class Japanese Vowels speaker classification with WER\,\,0.0898. We also introduce a subcarrier phase-encoding method that maps the calculated spiral-to-reference phase contrast onto the measured reservoir states through deliberate aliasing, achieving NMSE\,\,0.0767 and WER\,\,0 without increasing the insertion-loss-limited feedback gain. These results show that on-chip propagation delay in SiN can operate as a functional component of an optoelectronic reservoir computer and motivate lower-loss, more-integrated implementations.