Self-calibrated Microring Weight Function for Neuromorphic Optical Computing

TL;DR

This paper introduces a self-calibrated microring resonator system for neuromorphic photonic computing, achieving high precision and stability in dynamic thermal conditions for high-speed optical signals.

Contribution

It presents a novel self-calibrated weight function with real-time temperature stabilization for neuromorphic photonics, enhancing accuracy and robustness.

Findings

Record-high 11.3-bit precision in photonic weights

Effective temperature stabilization up to 60°C

Maintains accuracy with minimal calibration over 6°C range

Abstract

This paper presents a microring resonator-based weight function for neuromorphic photonic applications achieving a record-high precision of 11.3 bits and accuracy of 9.3 bits for 2 Gbps input optical signals. The system employs an all-analog self-referenced proportional-integral-derivative (PID) controller to perform real-time temperature stabilization within a range of up to 60 degree Celsius. A self-calibrated weight function is demonstrated for a range of 6 degree Celsius with a single initial calibration and minimal accuracy and precision degradation. By monitoring the through and drop ports of the microring with variable gain transimpedance amplifiers, accurate and precise weight adjustment is achieved, ensuring optimal performance and reliability. These findings underscore the system's robustness to dynamic thermal environments, highlighting the potential for high-speed reconfigurable analog photonic networks.