High-precision programming of large-scale ring resonator circuits with minimal pre-calibration
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arXiv
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| Format: | Preprint |
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2024
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| author | Liu, Shaojie Xu, Tengji Wang, Benshan Wang, Dongliang Xiao, Qiarong Huang, Chaoran |
| author_facet | Liu, Shaojie Xu, Tengji Wang, Benshan Wang, Dongliang Xiao, Qiarong Huang, Chaoran |
| contents | Microring resonators (MRRs) are essential components in large-scale photonic integrated circuits (PICs), but programming these circuits with high precision and efficiency remains an unsolved challenge. Conventional methods rely on complex calibration processes that are both time-consuming and often inaccurate, limiting the scalability of PICs. This work introduces an innovative control method called chip-in-the-loop optimization (ChiL) that addresses this challenge by offering high scalability, precision, fast convergence, and robustness. ChiL reduces the calibration complexity for an $N$ devices system from $O(k^N)$ to a single-shot measurement, while maintaining a record-high precision over 9-bit in the presence of system imperfections, including fabrication variances, thermal crosstalk, and temperature drift. Using ChiL, we experimentally demonstrate a photonic solver for computing matrix eigenvalues and eigenvectors with errors on the order of $10^{-4}$. Additionally, we achieve a photonic neural network (PNN) with accuracy and a confusion matrix identical to those of digital computers. ChiL offers a practical approach for programming large-scale PICs and bridges the gap between analog photonic and digital electronic computing and signal processing in both scale and precision. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_22064 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | High-precision programming of large-scale ring resonator circuits with minimal pre-calibration Liu, Shaojie Xu, Tengji Wang, Benshan Wang, Dongliang Xiao, Qiarong Huang, Chaoran Optics Microring resonators (MRRs) are essential components in large-scale photonic integrated circuits (PICs), but programming these circuits with high precision and efficiency remains an unsolved challenge. Conventional methods rely on complex calibration processes that are both time-consuming and often inaccurate, limiting the scalability of PICs. This work introduces an innovative control method called chip-in-the-loop optimization (ChiL) that addresses this challenge by offering high scalability, precision, fast convergence, and robustness. ChiL reduces the calibration complexity for an $N$ devices system from $O(k^N)$ to a single-shot measurement, while maintaining a record-high precision over 9-bit in the presence of system imperfections, including fabrication variances, thermal crosstalk, and temperature drift. Using ChiL, we experimentally demonstrate a photonic solver for computing matrix eigenvalues and eigenvectors with errors on the order of $10^{-4}$. Additionally, we achieve a photonic neural network (PNN) with accuracy and a confusion matrix identical to those of digital computers. ChiL offers a practical approach for programming large-scale PICs and bridges the gap between analog photonic and digital electronic computing and signal processing in both scale and precision. |
| title | High-precision programming of large-scale ring resonator circuits with minimal pre-calibration |
| topic | Optics |
| url | https://arxiv.org/abs/2410.22064 |