Analysis of various approaches used for the implementation of QCA based full adder circuit
Why this work is in the frame
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Bibliographic record
Abstract
Quantum Dot Cellular automata, one of the emerging nanotechnology is the possible alternative to these problems. This paper presents the comparative analysis of various QCA methodologies used for the implementation of full adder circuit. Also the designs and performance analysis of QCA full adder using Majority gate, minority gate, multilayer wire crossing, 5 input Majority voter gate is discussed. The designs follow the conventional design approaches, but due to the technology differences, they are modified for the best performance in QCA. The layout and simulation results are presented using QCADesigner Tool. QCADesigner is a QCA layout and simulation tool developed at the University of Calgary [1]. Simulations indicate very attractive performance regarding complexity, area, and delay in Minority gate based full adder and 5 input MV gate based full adder.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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