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Programmable Integrated Silicon Photonics Waveguide Meshes: Optimized designs and control algorithms

DOI:10.1109/jstqe.2019.2948048 期刊:IEEE Journal of Selected Topics in Quantum Electronics 出版年份:2019 更新时间:2025-09-11 14:15:04
摘要: Programmable Integrated Photonics is a recent area of research that aims to integrate a very-large scale of reconfigurable photonic components to enable flexible and versatile photonic integrated circuits. In this paper we review the state of the art of general-purpose waveguide mesh arrangements with a special focus on those that allow the synthesis of optical feedback loops. Moreover, we propose for the first time, a new design approach to generate waveguide mesh patterns with equally-oriented components. This innovation is of special relevance to improve performance and to mitigate one of the main scalability limitations, the integration density. The paper finalizes with an introduction to control algorithms for waveguide mesh arrangements based on derivative methods and non-derivative methods. These control methods provide a proof for the self-reconfiguration of large-scale waveguide mesh arrangements. In particular, we apply the computational optimization algorithms to program a hexagonal waveguide mesh to emulate a 1x8 beamforming network and an optical filter based on an unbalanced MZI design. All in all, the paper comprises recipes to achieve truly practical software-defined photonic integrated circuits.
作者: Daniel Pérez López
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To review the state of the art of general-purpose waveguide mesh arrangements with a focus on those that allow the synthesis of optical feedback loops, propose a new design approach for waveguide mesh patterns with equally-oriented components, and introduce control algorithms for waveguide mesh arrangements.

The paper concludes that programmable integrated photonics based on waveguide mesh arrangements can enable flexible and versatile photonic integrated circuits. The proposed longitudinally parallel waveguide mesh design mitigates scalability issues related to footprint and performance. Computational optimization methods, including gradient-based and non-derivative algorithms, are effective for configuring waveguide mesh arrangements, paving the way for self-optimized photonic integrated circuits.

The scalability of waveguide mesh arrangements is limited by integration density and the practical driving of a large number of photonic actuators simultaneously. The selection of hyper-parameters and cost functions plays a critical role in the performance and convergence speed of the optimization algorithms.

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