Photonic decision making using optical frequency difference detection in mutually-coupled semiconductor lasers

As electronic computing approaches its performance limits, photonic accelerators have emerged as promising alternatives. Photonic accelerators exploiting semiconductor-laser synchronization have been studied for decision-making. While conventional cross-correlation methods are computationally intensive and memory demanding, we propose a frequency-based approach using optical frequency differences. Simulations and experiments confirm that this method achieves decision making with reduced cost and memory requirements.