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Record W4405995910 · doi:10.1002/lpor.202401534

Unlocking Secure Optical Multiplexing with Spatially Incoherent Light

2025· article· en· W4405995910 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLaser & Photonics Review · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRandom lasers and scattering media
Canadian institutionsDalhousie University
FundersNational Key Research and Development Program of ChinaNatural Science Foundation of Shandong ProvinceChina Postdoctoral Science FoundationNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsMultiplexingComputer scienceOpticsPhysicsTelecommunications

Abstract

fetched live from OpenAlex

Abstract While coherent light holds promise for optical multiplexing via orthogonal degrees of freedom, its vulnerability to disturbances often results in information loss and retrieval hurdles, primarily due to its reliance on first‐order optical parameters. Herein, an incoherent optical information multiplexing and retrieval protocol is proposed theoretically and verified experimentally by harnessing the two‐point field correlations of structured random light. The optical information is securely stored in the multiplexed field correlations which are inaccessible to a direct capture by a camera and retrieved only through rigorous statistical processing. The inherently incoherent nature of random waves makes this protocol crosstalk‐free in principle and guarantees its high fidelity even in an extremely noisy environment. The advanced protocol opens new horizons in an array of fields, such as optical cryptography and optical imaging, and it can be relevant for information processing with random waves of diverse physical nature, including acoustic and matter waves.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.005
GPT teacher head0.245
Teacher spread0.240 · 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