English

High-dimensional Supermode Photonics Enabled by Hierarchical Supersymmetric Transformation

Optics 2026-08-11 v1

Abstract

Modes provide a fundamental degree of freedom for photonic information processing, yet conventional multimode waveguides exhibit non-equidistant effective-index distributions, making closely spaced modes vulnerable to intermodal crosstalk. Supermode photonics can overcome this limitation by geometrically engineering coupled waveguide arrays to realize large and equidistant effective-index spacing, but precise supermode excitation and detection remain challenging at the subwavelength scale. Here, we report a hierarchical second-order discrete supersymmetric (DSUSY) transformation method that enables high-purity excitation and extraction of arbitrary target supermodes in a compact and scalable architecture. We experimentally demonstrate six-supermode multiplexing systems on silicon-on-insulator and silicon nitride platforms. Benefiting from the large supermode index spacing and the isospectrality of DSUSY transformations, the fabricated devices exhibit low insertion losses (<2.6 dB) and intermodal crosstalk (<-11.1 dB) for all channels over a 100-nm wavelength range. A high-speed transmission experiment on the silicon device achieves an aggregate data rate of 1.2 Tbit/s, with all channel bit error rates below the 7% hard-decision forward-error-correction threshold. The method can further support polarization-insensitive architectures, enabling compact polarization-supermode hybrid multiplexing.This work provides a scalable route toward high-dimensional supermode photonics for high-capacity optical interconnects, highly parallel AI optical computing, and high-dimensional quantum information processing.

Keywords

Cite

@article{arxiv.2608.11099,
  title  = {High-dimensional Supermode Photonics Enabled by Hierarchical Supersymmetric Transformation},
  author = {Yuan Zhong and Kaile Chen and Qi Lu and Chunxue Wang and Jingchi Li and Yuru Li and Zhaohui Li and Chao Lu and Xinchen Ji and Yikai Su and Lu Sun},
  journal= {arXiv preprint arXiv:2608.11099},
  year   = {2026}
}

Comments

23 pages, 6 figures