Self-calibrated Microring Weight Function for Neuromorphic Optical Computing

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Garcia-Echeverria, J., Musat, D., Mahsafar, A., Mojaver, K. R., Rolston, D., Cowan, G., Liboiron-Ladouceur, O.
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866913496024743936
author Garcia-Echeverria, J.
Musat, D.
Mahsafar, A.
Mojaver, K. R.
Rolston, D.
Cowan, G.
Liboiron-Ladouceur, O.
author_facet Garcia-Echeverria, J.
Musat, D.
Mahsafar, A.
Mojaver, K. R.
Rolston, D.
Cowan, G.
Liboiron-Ladouceur, O.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_06604
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Self-calibrated Microring Weight Function for Neuromorphic Optical Computing
Garcia-Echeverria, J.
Musat, D.
Mahsafar, A.
Mojaver, K. R.
Rolston, D.
Cowan, G.
Liboiron-Ladouceur, O.
Signal Processing
Systems and Control
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.
title Self-calibrated Microring Weight Function for Neuromorphic Optical Computing
topic Signal Processing
Systems and Control
url https://arxiv.org/abs/2409.06604