Phase signal embedment in densely frequency-multiplexed coherent neural networks

Abstract

We propose a coherent neural network whose synaptic weights are embedded densely in volume hologram using a semiconductor laser so that the behavior is controlled by direct lightwave carrier-frequency modulation. A frequency-dependent learning obeys the complex-valued Hebbian rule. Experiments demonstrate that the system learns different output phase values dependently on the carrier frequency.