Enabling ROADM in mode division multiplexing networks with mode-selective switches
Why this work is in the frame
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Bibliographic record
Abstract
Mode division multiplexing (MDM) enhances optical communication systems by introducing an additional multiplexing dimension. We designed and validated a reconfigurable optical add/drop multiplexer (ROADM) prototype using MDM as an optical subsystem targeting data center interconnects and metro optical networks. Our MDM-ROADM employs a mode-selective switch at each node, selectively de/multiplexing the first three transverse-electric (TE) modes. Key components are based on 220 nm silicon photonics, using subwavelength grating structures and inverse design methodology. Machine learning-based fabrication correction, via our tool PreFab, improved mode selectivity by 57% for mode-selective thermo-optic phase shifters. We also developed mode filters for two modes with a crosstalk of −9dB for TE 0 and −15dB for TE 1 within a 35 nm wavelength range. Experimental validation using TE 0 and TE 1 modes at 1555 nm shows an aggregate payload transmission of 80 Gb/s NRZ and a PAM-4 transmission at 40 Gbaud with a bit error rate of 1.1×10 −9 and 3.8×10 −3 , respectively.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it