Coherent quantum work extraction of a relativistic battery as a probe for acceleration-induced Unruh thermality
Bibliographic record
Abstract
Abstract We propose a physical scheme of a uniformly accelerated Unruh–DeWitt battery and utilize quantum work extraction as a probe to witness the thermal nature of the Unruh effect induced by the accelerated motion. By employing the open quantum system approach, we analyze the coherent and incoherent components of the ergotropy which is the maximum amount of quantum work extraction of the relativistic battery driven by a coherent field. It has been proved that the steady values of coherent quantum work extraction in the asymptotic condition is only determined by the acceleration-dependent Unruh temperature. The asymptotic behavior of coherent ergotropy can demonstrate the thermal nature of the Unruh effect with respect to the Kubo–Martin–Schwinger condition. Under the circumstance of the Unruh effect, we explore the effect of the phase of the coherent charging field on the dynamics of coherent ergotropy when the battery approaches to the same thermal equilibrium state. The variation in the phase of the coherent driving field can improve the energy storage capacity of a relativistic battery. From viewpoint of energy transfer, the relativistic battery is helpful to examine the Unruh thermality.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".