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Record W6930870559 · doi:10.5281/zenodo.15428189

Revolutionizing Defense: 44.0 km Missile Tracking in 47.0 Seconds with 0.0–5.0s Early Alerts and 98.7% Precision Under 0.008 Noise Missile Detection Simulation

2025· article· en· W6930870559 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldMaterials Science
TopicNonlinear Optical Materials Research
Canadian institutionsnot available
Fundersnot available
KeywordsMissileDebuggingRadarNoise (video)Tracking (education)Position (finance)QuantumMissile guidance

Abstract

fetched live from OpenAlex

A groundbreaking milestone in quantum technology has been achieved with the successful completion of a quantum radar missile detection simulation. Conducted by Dr. Zuhair Ahmed and his expert team in Toronto, Canada, this simulation, executed on IBM's Sherbrooke quantum backend, demonstrates advanced multi-sensor quantum detection capabilities. The system accurately detected a missile traveling at 3.0 km/s, pinpointing its position at 44.0 km within 47.0 seconds, with early warnings issued within 0.0 to 5.0 seconds. This article details the simulation's technical achievements, including its robust performance under quantum noise, transparent debugging features, and its implications for defense applications. The work positions quantum radar as a transformative technology, offering a model for global adoption in high-stakes security contexts.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.031
GPT teacher head0.281
Teacher spread0.249 · 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