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Record W4393391562 · doi:10.1002/adfm.202315936

Solid‐State Single‐Photon Sources: Recent Advances for Novel Quantum Materials

2024· article· en· W4393391562 on OpenAlexafffund
Martin Esmann, Stephen C. Wein, C. Antón

Bibliographic record

VenueAdvanced Functional Materials · 2024
Typearticle
Languageen
FieldComputer Science
TopicQuantum Information and Cryptography
Canadian institutionsUniversity of Calgary
FundersQuantERABanco Bilbao Vizcaya ArgentariaBundesministerium für Bildung und ForschungNatural Sciences and Engineering Research Council of CanadaEuropean CommissionComunidad de MadridMinisterio de Ciencia e InnovaciónFundación Ramón ArecesFundación BBVA
KeywordsPhotonSolid-stateQuantumSingle-photon sourcePhysicsEngineering physicsQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract In this review, the current landscape of emergent quantum materials for quantum photonic applications is described. The review focuses on three specific solid‐state platforms: single emitters in monolayers of transition metal dichalcogenides (TMDs), defects in hexagonal boron nitride (hBN), and colloidal quantum dots in perovskites (PQDs). These platforms share a unique technological accessibility, enabling the rapid implementation of testbed quantum applications, all while being on the verge of becoming technologically mature enough for a first generation of real‐world quantum applications. The review begins with a comprehensive overview of the current state‐of‐the‐art for relevant single‐photon sources in the solid‐state, introducing the most important performance criteria and experimental characterization techniques along the way. Progress for each of the three novel materials is then benchmarked against more established (yet complex) platforms, highlighting performance, material‐specific advantages, and giving an outlook on quantum applications. This review will thus provide the reader with a snapshot on latest developments in the fast‐paced field of emergent single‐photon sources in the solid‐state, including all the required concepts and experiments relevant to this technology.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.813
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.275
Teacher spread0.251 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations81
Published2024
Admission routes2
Has abstractyes

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