Silicon photonic switches for single mode and multimode networks
Bibliographic record
Abstract
The advancement of silicon photonics (SiPh) technology in communication systems has been rising rapidly day by day.Silicon photonics, compatible with complementary metaloxide-semiconductor (CMOS), is one of the most promising technologies that provides large capacity and high integration density with an established fabrication process.The mature and low-cost silicon photonic technology has all the potentials to develop high-performance photonic switches required for advanced datacenter networks.This thesis is a theoretical and experimental demonstration of several silicon photonic switches featuring low loss, low crosstalk, low power consumption, and broadband applications.We design and experimentally demonstrate scalable 2 2, 4 4, and 8 8 SiPh thermooptic switches exhibiting low loss, low crosstalk, and low power consumption with a bit error rate (BER) below 10 -10 for payload data transmission.For 8 8 switch, less than 3.13 dB insertion loss and approximately 20.5 dB crosstalk is measured over a bandwidth range of 25 nm with 5.2 pJ/bit power consumption.Using more optimized multimode interferometer (MMI) and waveguide crossing, an ultra-broadband 16 16 thermo-optic switch has also been designed and experimentally demonstrated using continuous wave (CW) and payload transmission (RF).This switch provides 100 nm of bandwidth, at most 8 dB in crosstalk, and less than 3.8 dB of insertion loss for the longest path.At 10 Gb/s, this energy-efficient switch consumes less than 7 pJ/bit. Recently, mode division multiplexing (MDM) technology has attracted widespread List of Acronyms BERBit Error Rate.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".