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Record W3117877283 · doi:10.1109/jlt.2020.3047697

A Parity-Time-Symmetric Optoelectronic Oscillator Based on Non-Reciprocal Electro-Optic Modulation

2020· article· en· W3117877283 on OpenAlexaff
Jinying Fan, Lingzhi Li, Jiejun Zhang, Xinhuan Feng, Bai‐Ou Guan, Jianping Yao

Bibliographic record

VenueJournal of Lightwave Technology · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum Mechanics and Non-Hermitian Physics
Canadian institutionsUniversity of Ottawa
FundersNational Natural Science Foundation of China
KeywordsPhase noisePhysicsMicrowavedBcModulation (music)OpticsPhase modulationOptoelectronicsAcousticsQuantum mechanics

Abstract

fetched live from OpenAlex

In this paper, we propose and experimentally demonstrate a parity-time- (PT-) symmetric optoelectronic oscillator (OEO) based on non-reciprocal electro-optic modulation for the generation of a microwave signal with a low phase noise. In the proposed OEO, two mutually coupled optoelectronic loops with one having a gain and the other a loss are implemented based on the copropagating and counterpropagating modulation in a traveling-wave electro-optic Mach-Zehnder modulator (MZM), to achieve PT symmetry. Due to the non-reciprocity of the travelling-wave MZM, the modulation indices are different for the copropagating and counterpropagating light waves in relative to the applied microwave signal, which is then interpreted as different microwave round-trip gains for the mutually coupled optoelectronic loops. Once the gain/loss coefficient is greater than the coupling coefficient, the PT symmetry is broken, and single-mode oscillation is achieved. The proposed OEO is experimentally demonstrated. A 10-GHz microwave signal with a phase noise of −110 dBc/Hz at an offset frequency of 10 kHz and a sidemode suppression ratio of 42 dB is generated. The work provides a new solution to overcome the mode selection problem in a long-cavity OEO. Since a single physical loop is employed, the proposed PT-symmetric OEO has the simplest architecture as compared to any existing PT-symmetric OEOs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.229
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations16
Published2020
Admission routes1
Has abstractyes

Explore more

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