New Aspects of Quantum Interactions: Acceleration-Induced Transparency, Newton’s Cradle Spectra, Superoscillations
Bibliographic record
Abstract
We present new results on different aspects of quantum interactions, from new phenomena to new mathematical tools. First, two new phenomena of light-matter interactions are presented: the stimulated Unruh effect and acceleration induced transparency. We show how the two combined lead to improved measurability of the Unruh effect in the laboratory. Building on that, we present a method to modulate the strength of general quantum interactions, which we call the parametrically induced decoupling. Then, as an answer to the mathematical challenges of describing quantum interactions, we present Newton’s cradle spectra as a new tool for understanding nonperturbative physics. This is followed by a work describing what influences the rate at which a quantum channel arises at the onset of an interaction between two systems. Finally, we describe a new method to generate superoscillations of arbitrary shape, and the new idea of quantum prison break, whereby a quantum object contained in a finite space may escape it and jump to a predefined region, when triggered by a suitable measurement.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".