Towards the Design and Analysis of Multiplexer/Demultiplexer Using Quantum Dot Cellular Automata for Nano Systems
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
Quantum dot Cellular Automata (QCA) is a rapidly developing nanotechnology that offersultra-low energy loss, increased speed, and incredibly tiny area requirements. The two most important building blocks of QCA nano computing are the multiplexer and demultiplexer. The performance of new 2:1 multiplexer and 1:2 demultiplexer QCA layouts was investigated in this study. For a better performance study, two methodologies were used to measure energy loss, and alternative cost functions were explored. Total energy losses of 14.30 meV and 7.37 meV for the proposed multiplexer and demultiplexer, respectively, were detected using the software QDADesigner-E (QDE) in the Coherence vector simulation mode applying the Runge Kutta approximation technique. According to QCAPro, at the tunneling level 0.5EK and temperature 2K, the total energy loss of the multiplexer and the demultiplexer is 35.60 meV and 37.19 meV, respectively. Cost functions for both experimental items were also calculated in three different methods.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| 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