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Record W4405440148 · doi:10.1109/mce.2024.3519085

The 3rd Workshop on Quantum in Consumer Technology at IEEE Quantum Week 2024

2024· article· en· W4405440148 on OpenAlexaffabout
Rafael Sotelo, Edoardo Giusto, Yuichi Nakamura, Jingbo Wang, Sreeraman Rajan, Himanshu Thapliyal

Bibliographic record

VenueIEEE Consumer Electronics Magazine · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBig Data and Business Intelligence
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer scienceQuantumQuantum computerPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

The Workshop on Quantum in Consumer Technology at IEEE Quantum Week 2024 was an inspiring event that united experts from diverse fields to explore the present advancements and future possibilities of quantum technology in consumer applications. Organized by the Quantum in Consumer Technology Technical Committee of the IEEE Consumer Technology Society (CTSoc), this workshop focused on the integration and application of quantum technologies in consumer electronics, exploring current innovations and future directions; see CTSoc representatives in Figure 1(a). This workshop was part of the IEEE Quantum Week 2024, officially known as the IEEE International Conference on Quantum Computing and Engineering (QCE24), which was held in the Palais des Congrès in Montréal, Québec, Canada, from 15 to 20 September, 2024.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0070.004
Open science0.0020.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0500.016

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 head0.041
GPT teacher head0.289
Teacher spread0.248 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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