Design of an energy efficient approximate BinDCT module in quantum cellular automata
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Bibliographic record
Abstract
The quantum cellular automata (QCA) paradigm offers an ultra-low-power approach for realizing nanocomputing circuits at the molecular level, offering high parallelism capabilities. This study introduces a coplanar and energy-efficient implementation of the approximate binary discrete cosine transform (BinDCT) module using QCA technology. The proposed BinDCT module integrates various sequential and combinatorial submodules, including multiplexers (MUXs), demultiplexers (DeMUXs), parallel-in-parallel-out right-shift registers (PIPO-RSRs), ripple carry adders (RCAs), and ripple borrow subtractors (RBSs). Each submodule is systematically designed following the standard single-layer design principles, which are crucial for maximizing circuit performance, enhancing reliability, and minimizing power dissipation. Extensive simulations were conducted to validate the logic operation and energy dissipation of each submodule. The simulation results demonstrate a significant reduction in power dissipation- up to [Formula: see text] and an improvement in circuit area efficiency by [Formula: see text] compared to previous QCA implementations.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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