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Record W7024508766

Silicon photonic switches for single mode and multimode networks

2021· dissertation· en· W7024508766 on OpenAlexafffund

Bibliographic record

VenueeScholarship@McGill (McGill) · 2021
Typedissertation
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsMcGill University
FundersMcGill University
KeywordsInsertion lossSilicon photonicsPhotonicsBroadbandBandwidth (computing)Multi-mode optical fiberOptical switchSingle-mode optical fiberMultiplexingSilicon
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.234
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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