Scalable optical neural network with nonlocally coupled coherent photonic processor
This paper presents a scalable optical neural network architecture that utilizes nonlocally coupled coherent light and multiport directional couplers to achieve matrix-vector multiplication with a linear scaling of active components, overcoming the quadratic limitations of conventional Mach-Zehnder interferometer meshes.