Programmable photonic waveguide arrays: opportunities and challenges

TL;DR

Programmable photonic waveguide arrays (PWAs) offer a promising, reconfigurable platform for advanced photonic applications, overcoming limitations of traditional mesh-based systems through tunable control and compact design.

Contribution

This paper reviews the conceptual foundations, recent advances, and future prospects of PWAs, highlighting their potential as next-generation reconfigurable photonic processors.

Findings

PWAs enable tunable control over photonic Hamiltonians.

PWAs can be applied to quantum simulation and neural networks.

Challenges include modeling, fabrication, and control of PWAs.

Abstract

The rising complexity of photonic applications, ranging from quantum computing to neuromorphic processing, has driven the demand for highly programmable and scalable photonic integrated circuits. While mesh-based architectures built from Mach-Zehnder interferometers have enabled significant advances, their reliance on beam splitting and light bending introduces optical loss, fabrication challenges, and scalability bottlenecks. Continuously lateral-coupled integrated waveguide arrays (WAs), by contrast, offer compact systems with no direct free-space analogs, but their static nature has limited their utility. Recently, programmable waveguide arrays (PWAs) have emerged as a promising alternative, combining the Hamiltonian richness of WAs with tunable control. This perspective outlines the conceptual foundations, recent progress, and future potential of PWAs across quantum simulation, photonic neural networks, topological photonics, and nonlinear optics. We examine the theoretical and practical challenges of modeling, fabrication, and control, and propose PWAs as a next-generation architecture for compact, reconfigurable photonic processors.