Fredkin Circuit in Nanoscale: A Multilayer Approach
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
Nanotechnologies, exceedingly Quantum-dot Cellular Automata (QCA), presents a notable perception for upcoming nanocomputing. Feature extent of circuits is moving to sub-micron point that produces the sophisticated device intricacies. In this work, QCA is considered as an application technique for reversible logic. A multi-layer reversible Fredkin circuit is proposed with QCA nanotechnology. The accomplishment of the outlined circuit is substantiated with five existing Fredkin gate, which exhibits from 71.20% to 37.50% improvement in term of cell intricacy. The proposed design uses 55 cells concerning only 0.03 m 2 area and latency is 0.75. The power consumption by the proposed circuit is also presented in this literature. The proposed design has been realized with QCADesigner version 2.0.3.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it