Revolution in the Sky Miracle or Mechanism? The Qur'an Settled the Question and Revealed the Science Behind Sheba's Throne Transfer
Bibliographic record
Abstract
This visionary research reinterprets the Quranic account of the instantaneous transportation of the Queen of Sheba’s throne as a scientifically plausible event grounded in advanced physics and quantum theory. Rather than viewing it purely as a miracle, the study explores how the Qur’an may have anticipated concepts now emerging through modern science—suggesting a deeper mechanism beneath the marvel. Integrating recent breakthroughs in mass-energy conversion, quantum computing, nanotechnology, holography, 3D printing, and the quantum internet, the paper constructs a theoretical and technological framework for real-world teleportation. Citing real scientific milestones—such as Italy’s photon-to-mass conversion experiments and quantum supremacy advances by IBM and Google—it builds the case for a phased roadmap to teleportation. Using an interdisciplinary systems model, the study deconstructs the Quranic narrative in Surah An-Naml into four technological stages: dematerialization, data encoding, ultra-fast transmission, and precise reassembly—each of which is increasingly feasible with current and near-future technologies. By fusing ancient revelation with cutting-edge innovation, the paper proposes a revolutionary perspective that could reshape scientific, theological, and industrial paradigms. It concludes with a call for cross-disciplinary collaboration and institutional investment to advance teleportation research for transformative applications in healthcare, defense, logistics, and space exploration. Keywords: Teleportation, Quantum Computing, Mass-Energy Conversion, Nanotechnology, Quranic Science, Scientific Interpretation of Scripture, Biological Teleportation, Future Technologies
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".