Accelerated Design of Microring Lasers with Multi-Objective Bayesian Optimization

TL;DR

This paper presents a multi-objective Bayesian optimization approach to rapidly design low-threshold, high-yield microring lasers for photonic circuits, significantly improving performance and yield over traditional methods.

Contribution

It introduces a novel combination of high-throughput characterization, statistical analysis, and Bayesian optimization for efficient laser design.

Findings

1. Achieved 1.6× reduction in laser threshold.

2. Attained 100% lasing yield within the O-band.

3. Median threshold as low as 33 μJ/cm² per pulse.

Abstract

On-chip coherent laser sources are crucial for the future of photonic integrated circuits, yet progress has been hindered by the complex interplay between material quality, device geometry, and performance metrics. We combine high-throughput characterization, statistical analysis, experimental design, and multi-objective Bayesian optimization to accelerate the design process for low-threshold, high-yield III-V microring lasers with room-temperature operation at communication wavelengths. We demonstrate a 1.6$\times$ reduction in threshold over expert-designed configurations, achieving a 100% lasing yield that emits within the O-band with a median threshold as low as 33$\mu$J cm$^{-2}$ pulse$^{-1}$.