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
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it