Cross-gain modulation-based photonic reservoir computing using low-power-consumption membrane SOA on Si
Takuma Tsurugaya, Tatsurou Hiraki, M. Nakajima, Takuma Aihara, Nikolaos-Panteleimon Diamantopoulos, Takuro Fujii, Toru Segawa, Shinji Matsuo
Abstract
We demonstrate photonic reservoir computing (RC) utilizing cross-gain modulation (XGM) in a membrane semiconductor optical amplifier (SOA) on a Si platform. The membrane SOA’s features of small active volume and strong optical confinement enable low-power nonlinear operation of the reservoir, with 10 1 -mW-scale power consumption and 10 2 -µW-scale optical input power. The power consumption is about an order of magnitude lower than that of conventional SOAs that exhibit saturable nonlinearity. The XGM-based reservoir is configured by injecting a delayed feedback signal into the SOA from a direction opposite to the input signal. This configuration provides robust operation of the feedback circuit because of the phase insensitivity and the elimination of loop oscillation risk. The RC performance is evaluated via the information processing capacity (IPC) and a nonlinear benchmark task. It is revealed that the XGM-based reservoir performs strong nonlinear transformation of input time-series signals. The series of results consistently show that the membrane SOA performs RC-applicable nonlinear operations through XGM at a low power scale.