Reversible Architecture of Computer Arithmetic
Why this work is in the frame
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Bibliographic record
Abstract
Reversible logic plays an important role in emerging low power designs and quantum computing. This paper presents an efficient way to realize reversible arithmetic circuits especially targeting toward reversible arithmetic logic unit (RALU). In literature for reversible logic, not a significant advancement is found in integrating both logical and arithmetical functions, commonly known as arithmetic logic unit (ALU), a key feature of any computing system architecture. Here, this work presents a novel reversible arithmetic logic unit (ALU) performing basic functions similar to classical ALU such as addition, subtraction, AND, OR and XOR operations. Additional functions such as, NAND, NOR, XNOR and logical functions with single input inverted, overflow detection and comparison can also be performed with this design. The integration of these operations in single module using less number of control signals is not available in any of existing approaches. The design and analysis based on different parameters of reversible circuitsnumber of gates, garbage bits and quantum cost as well as simulation results are presented here. The proposed design offers efficient programmability and more flexibility than other 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 | 0.000 | 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 | 0.000 |
| 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