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Record W2133360183 · doi:10.1145/988952.989054

Design and characterization of an and-or-inverter (AOI) gate for QCA implementation

2004· article· en· W2133360183 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicQuantum-Dot Cellular Automata
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsCharacterization (materials science)InverterLogic gateComputer scienceElectronic engineeringElectrical engineeringMaterials scienceEngineeringNanotechnologyVoltage

Abstract

fetched live from OpenAlex

Quantum-dot Cellular Automata (QCA) offers a new computing paradigm in nanotechnology. The basic logic elements of this technology are the inverter and the majority voter. In this paper, we propose a novel complex and universal QCA gate: the And-Or-Inverter (AOI) gate, which is a 5 input gate consisting of 7 cells. This paper presents a detailed simulation-based analysis of the AOI gate as well as the characterization of QCA defects and study of their effects at logic level. Design implementations using the AOI gate are compared with the conventional CMOS and the majority voter-based QCA methodology. Testing of the AOI gate at logic level is also addressed, unique testing features of designs based on this complex gate have been investigated.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.496
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.284
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations40
Published2004
Admission routes1
Has abstractyes

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