Jue Wang, Kangrui Wang, Chengkun Cai, Tianhao Fu, Jian Wang
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引用次数: 0
Abstract
Mode-division multiplexing (MDM) techniques based on various spatial mode bases are of great significance in satisfying the demand for efficient capacity scaling. With the development of diverse MDM systems, the seamless connection and integration between them are particularly important. In this scenario, a laudable goal would be to implement flexible spatial mode-based mapping. To break the barrier between different MDM systems, a compact 3D photonic device based on diffractive neural network (DNN) is presented for mode-based mapping, transforming orbital angular momentum (OAM) modes into linearly polarized (LP) modes. Through simulations and experiments, a four-layer optical neural network mode mapper (ONNMM) is successfully demonstrated, exhibiting its capability of mapping five orthogonal spatial modes between OAM and LP mode bases simultaneously. The ONNMM shows a vision for grooming MDM optical communications and interconnects, as well as other emerging applications enabled by intelligent 3D integrated compact devices.
期刊介绍:
Laser & Photonics Reviews is a reputable journal that publishes high-quality Reviews, original Research Articles, and Perspectives in the field of photonics and optics. It covers both theoretical and experimental aspects, including recent groundbreaking research, specific advancements, and innovative applications.
As evidence of its impact and recognition, Laser & Photonics Reviews boasts a remarkable 2022 Impact Factor of 11.0, according to the Journal Citation Reports from Clarivate Analytics (2023). Moreover, it holds impressive rankings in the InCites Journal Citation Reports: in 2021, it was ranked 6th out of 101 in the field of Optics, 15th out of 161 in Applied Physics, and 12th out of 69 in Condensed Matter Physics.
The journal uses the ISSN numbers 1863-8880 for print and 1863-8899 for online publications.