Right Device, Right Place: Variation-Aware Placement and Design Optimization for Robust Photonic Lattice-Filter Demultiplexers

2026/07/16 by Zahra Ghanaatian, Edwin K. P. Chong, Mahdi Nikdast
Computer Science · Physics and Astronomy · #physics.optics #cs.ET

paper · pdf

Abstract

We propose a Bayesian co-optimization framework for robust integrated photonic lattice-filter demultiplexers, jointly optimizing device placement and design parameters under fabrication and thermal variations. Results show 75% better spectral matching and 45% lower calibration power.

Related

• Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes
• BOSON^-1: Understanding and Enabling Physically-Robust Photonic Inverse Design with Adaptive Variation-Aware Subspace Optimization
• Machine learning assisted global optimization of photonic devices
• Seeded Topology Optimization for Commercial Foundry Integrated Photonics
• A Framework for Discovering Optimal Solutions in Photonic Inverse Design