Papers
Topics
Authors
Recent
Search
2000 character limit reached

High-Performance Wavelength Division Multiplexers Enabled by Co-Optimized Inverse Design

Published 8 Sep 2025 in physics.optics | (2509.07233v1)

Abstract: Wavelength division multiplexers are fundamental to the functioning and performance of integrated photonic circuits, with applications ranging from optical interconnects to sensing and quantum technologies. Current solutions are limited by trade-offs between channel spacing, crosstalk, insertion loss, and device footprint. Here, we develop a novel design approach that co-optimizes inverse-designed wavelength division multiplexers and distributed Bragg gratings to achieve ultra-low crosstalk without compromising insertion loss. We experimentally demonstrate less than -40 dB crosstalk for wavelength channel spacing of 15 nm in foundry-compatible silicon devices across the telecommunications C- and L-bands. Our design process is highly adaptable, allowing for seamless scaling to a greater number of output channels, different spectral windows, and easy translation across various material platforms.

Summary

  • The paper introduces a co-optimized inverse design framework that integrates Bragg gratings with WDMs, achieving robust performance with less than -40 dB crosstalk at 15 nm channel spacing.
  • It employs GPU-accelerated FDTD solvers for scalable simulations and incorporates Bragg gratings within the loss function to minimize unwanted reflections and enhance narrowband operation.
  • The approach enables integration into CMOS-compatible silicon photonics, paving the way for next-generation optical communications and multifunctional photonic circuits.

High-Performance Wavelength Division Multiplexers Enabled by Co-Optimized Inverse Design

Integrated photonics continues to emerge as a transformative platform for data communication, particularly through wavelength division multiplexers (WDMs) used in optical interconnects. The paper "High-Performance Wavelength Division Multiplexers Enabled by Co-Optimized Inverse Design" (2509.07233) introduces a novel approach to enhance the performance of WDMs by leveraging co-optimized inverse design with distributed Bragg gratings. This advancement addresses prevalent limitations related to channel spacing, crosstalk, insertion loss, and device footprint.

Inverse Design Methodology

The current state-of-the-art inverse design techniques allow for the creation of compact photonic devices with optimal dielectric distributions. Traditional design approaches, although effective, have inherent limitations in terms of computational efficiency and device scalability. In this study, large-scale GPU-accelerated Finite Difference Time Domain (FDTD) solvers are employed, significantly enhancing simulation capacity and allowing for the integration of entire photonic components within the optimization region.

In the proposed methodology, Bragg gratings, designed through the inverse design process, are paired with wavelength multiplexers to achieve narrow pass bands with minimal crosstalk. By initializing the design region with Bragg filters and incorporating these in the loss function during optimization, the authors improve the inverse-designed WDMs' capability to minimize unwanted reflections while ensuring efficient wavelength channel splitting.

Performance and Experimental Results

The experimental results from the fabricated silicon photonic devices indicated less than -40 dB crosstalk for channel spacings of 15 nm, representing a robust performance compared to traditional designs. This was validated across the telecommunications C- and L-bands. The proof of concept for the co-optimization approach not only demonstrated high performance in terms of crosstalk suppression but also successfully overcame the limitations of channel spacing and insertion loss.

Figure \ref{fig:fig2_reflectionhandling} shows a notable reduction in crosstalk and enhancement in narrowband operation through co-optimized designs compared to their non-optimized counterparts. The flexible scalability of the technique facilitates modifications for various output ports and spectral requirements.

System-Level Implementation

A major application of the WDM devices was evidenced at the system level where they were coupled with a silicon nitride frequency comb source. This configuration efficiently demultiplexed the frequency comb’s lines, validating the integration and operational effectiveness of the device within a practical optical system setup.

Implications and Future Work

The substantial improvement in WDMs through the incorporation of co-optimized inverse design with Bragg gratings has vast implications, particularly in optical data communication. The approach aligns well with CMOS-compatible fabrication processes, allowing immediate integration into current manufacturing pipelines. Furthermore, the ability of the design to be adapted to different material platforms provides a comprehensive solution for addressing future bandwidth demands and extending beyond the operational limits of silicon.

Further research could involve extending this co-optimization framework to additional photonic components and exploring its integration with emerging photonic platforms to address challenges related to thermal management and nonlinear effects. This strategy opens avenues for multifunctional photonic circuits with enhanced reliability and efficiency.

Conclusion

The paper provides a robust framework for enhancing the capabilities of WDMs through innovative co-optimized inverse design. By addressing key device limitations, the proposed approach not only enhances performance metrics such as crosstalk and channel spacing but also extends the applicability of photonic devices in modern communication systems. This research marks a significant step towards realizing next-generation photonic devices with multifunctional capabilities, thereby setting the stage for future explorations in integrated photonics.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Collections

Sign up for free to add this paper to one or more collections.