Fully Parallel Multi-Agent Photonic Optimizer

This concerns the manuscript "Fully Parallel Multi-Agent Photonic Optimizer"

Abstract: Optimization problems are central to many important cross-disciplinary applications. In their conventional implementations, the sequential nature of operations imposes strict limitations on the computational efficiency. Here, we discuss how analog optical computing can overcome this fundamental bottleneck. We propose a photonic optimizer unit, together with supporting algorithms that uses in-memory computation within a nature-inspired, multi-agent cooperativeframework. The system performs a sequence of reconfigurable parallel matrix–vector operations, enabled by the highbandwidth and multiplexing capabilities inherent to photonic circuits. This approach provides a pathway toward fastpaced and high-quality solutions for difficult optimization and search problems.