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Shot noise and squeezing in the conduction channel of a Field Effect Transistor at ultra-low temperature

2019· article· en· W2993240189 on OpenAlexaff
Anthoni Manseau, Edouard Pinsolle, Christian Lupien, Bertrand Reulet

Bibliographic record

VenueInfoscience (Ecole Polytechnique Fédérale de Lausanne) · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Semiconductor Devices and Circuit Design
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsTransistorShot noiseInfrasoundThermal conductionNoise (video)OptoelectronicsMaterials scienceField-effect transistorElectrical engineeringChannel (broadcasting)Temperature measurementPhysicsEngineeringComputer scienceAcousticsVoltageQuantum mechanics

Abstract

fetched live from OpenAlex

We present two measurements of shot noise generated by the drain-source channel of a field effect transistor placed at ultra-low temperature.In a first experiment performed on a high impedance channel, we demonstrate classical, low frequency shot noise.In a second one performed in the microwave regime on a 50 channel, we observe quantum shot noise as well as vacuum squeezing.We also discuss the possibility of using another mechanism, the high frequency modulation of the gate voltage, to squeeze vacuum fluctuations.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.667

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.225
Teacher spread0.217 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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