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Record W4388567028 · doi:10.1364/josab.502566

Comparing continuous and pulsed nitrogen-vacancy DC magnetometry in the optical-power-limited regime

2023· article· en· W4388567028 on OpenAlexafffund
Maggie Haitian Wang, Michael Caouette-Mansour, Adrian Solyom, Lilian Childress

Bibliographic record

VenueJournal of the Optical Society of America B · 2023
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsMcGill University
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for Innovation
KeywordsMagnetometerSpinsSensitivity (control systems)PhysicsPower (physics)Quantum sensorNitrogen-vacancy centerComputational physicsMagnetic fieldQuantum technologyElectronic engineeringCondensed matter physicsQuantumEngineeringQuantum mechanics

Abstract

fetched live from OpenAlex

Ensembles of nitrogen-vacancy (NV) center spins in diamond offer a robust, precise, and accurate magnetic sensor. As their applications move beyond the laboratory, practical considerations including size, complexity, and power consumption become important. Here, we compare two commonly employed NV magnetometry techniques—continuous-wave (CW) versus pulsed magnetic resonance—in a scenario limited by the total available optical power. We develop a consistent theoretical model for the magnetic sensitivity of each protocol that incorporates NV photophysics—in particular, including the incomplete spin polarization associated with limited optical power; after comparing the models’ behavior to experiments, we use them to predict the relative DC sensitivity of CW versus pulsed operation for an optical-power-limited, shot-noise-limited NV ensemble magnetometer. We find a ∼2−3× gain in sensitivity for pulsed operation, which is significantly smaller than seen in power-unlimited, single-NV experiments [ Phys. Rev. B 84 , 195204 ( 2011 ) PRBMDO 0163-1829 10.1103/PhysRevB.84.195204 ]. Our results provide a resource for practical sensor development, informing protocol choice and identifying optimal operation regimes when optical power is constrained.

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)0.002
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 score0.283
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.278
Teacher spread0.257 · 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

Citations6
Published2023
Admission routes2
Has abstractyes

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Same venueJournal of the Optical Society of America BSame topicDiamond and Carbon-based Materials ResearchFrench-language works237,207