Bibliographic record
Abstract
"Quantum supremacy" is such a level of performance of a quantum computer that it provides solutions to problems requiring practically unattainable power from conventional supercomputers. As of today, quantum supremacy is achieved only on some model tasks by several quantum computers, but the development of quantum computing is going on all over the world. The development of quantum computing includes not only the creation of quantum computers, but also the creation of infrastructure for access to computing power, the development of software, and the capability to use quantum computers together with conventional supercomputers. The countries in which these laboratories have been formed have become leaders in the field of quantum computing. Quantum computer laboratories focus on the development, modeling, integration, and adaptation of practical applications for the new quantum computer. The presentation of the first quantum computer is an important milestone. This is not a one-off initiative, but part of a broad strategy for promoting breakthrough technologies in various fields. All these efforts are part of an international strategic plan for the development of quantum computing aimed at maintaining the technological leadership of developers, preserving the competitiveness of high-tech industry, and ensuring the sustainable economic growth of smart technologies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.010 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".