芯片级全光学复值矩阵反相器

IF 5.4 1区 物理与天体物理 Q1 OPTICS
APL Photonics Pub Date : 2024-05-13 DOI:10.1063/5.0200149
Xinyu Liu, Junwei Cheng, Hailong Zhou, Jianji Dong, Xinliang Zhang
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引用次数: 0

摘要

矩阵反演是一种基本的线性代数运算,应用广泛,但在基于数字时钟的平台上计算成本高昂。光计算是一种具有高速度和高能效的新型计算模式,可通过光传播实现计算。然而,在现有光学系统中,既能实现高集成度,又能执行复值运算的矩阵反相器却很少见。我们首次在实验中展示了一种迭代式全光学芯片级处理器,利用理查森方法执行复值矩阵反演计算。我们的芯片级处理器的迭代速度达到了 10 GHz,在高速马赫-泽恩德干涉仪调制器的辅助下,可实现超快矩阵反演。收敛可在 20 次迭代内完成,精度可达 90%。所提出的芯片级全光复值矩阵反相器是全光递归系统领域的一项独特创新,为解决计算密集型数学问题提供了巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chip-scale all-optical complex-valued matrix inverter
Matrix inversion is a fundamental and widely utilized linear algebraic operation but computationally expensive in digital-clock-based platforms. Optical computing is a new computing paradigm with high speed and energy efficiency, and the computation can be realized through light propagation. However, there is a scarcity of experimentally implemented matrix inverters that exhibit both high integration density and the capability to perform complex-valued operations in existing optical systems. For the first time, we experimentally demonstrated an iterative all-optical chip-scale processor to perform the computation of complex-valued matrix inversion using the Richardson method. Our chip-scale processor achieves an iteration speed of 10 GHz, which can facilitate ultra-fast matrix inversion with the assistance of high-speed Mach–Zehnder interferometer modulators. The convergence can be attained within 20 iterations, yielding an accuracy of 90%. The proposed chip-scale all-optical complex-valued matrix inverter represents a distinctive innovation in the field of all-optical recursive systems, offering significant potential for solving computationally intensive mathematical problems.
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来源期刊
APL Photonics
APL Photonics Physics and Astronomy-Atomic and Molecular Physics, and Optics
CiteScore
10.30
自引率
3.60%
发文量
107
审稿时长
19 weeks
期刊介绍: APL Photonics is the new dedicated home for open access multidisciplinary research from and for the photonics community. The journal publishes fundamental and applied results that significantly advance the knowledge in photonics across physics, chemistry, biology and materials science.
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