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Record W4417475992 · doi:10.1088/2053-1591/ae2f26

A review of advances in next-generation materials for quantum sensing and communication

2025· article· en· W4417475992 on OpenAlex
Katia Méziani, Aziz Oukaira, S. Mouaci, Amina Aghanim, Mohamed Guermal, Yassmine Esshaimi

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMaterials Research Express · 2025
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsQuantum sensorQuantumQuantum technologyQubitUnderpinningQuantum information scienceKey (lock)Quantum nanoscience

Abstract

fetched live from OpenAlex

Abstract This review provides a comprehensive overview of the key materials underpinning quantum technologies, including two-dimensional system (2D), superconducting materials, and nitrogen-vacancy (NV − ) centers in diamond. Particular emphasis is placed on their roles in quantum sensing, communication, and qubit design. Quantum sensors, such as atomic vapor magnetometers, solid-state spin sensors, and superconducting quantum interference devices (SQUID) circuits, have become essential tools for measuring magnetic fields and detecting physical phenomena at extremely small scales. These technologies, with diverse applications ranging from medicine and geophysics to biotechnology and materials science, offer new opportunities for detecting and measuring nanoscale phenomena and are poised to play a key role in the future of quantum technologies.

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)0.010
metaresearch head score (Gemma)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.105
GPT teacher head0.413
Teacher spread0.307 · 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