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Record W7084098545 · doi:10.1109/comst.2025.3616390

Counterfactual Quantum Communication: Information Exchange in Quantum Shadows

2025· article· en· W7084098545 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.

Bibliographic record

VenueIEEE Communications Surveys & Tutorials · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial biofilms and quorum sensing
Canadian institutionsMemorial University of Newfoundland
FundersNational Research Foundation of Korea
KeywordsCounterfactual thinkingQuantum channelQuantum teleportationQuantum information scienceQuantumQuantum informationQuantum capacityAmplitude damping channelChannel (broadcasting)

Abstract

fetched live from OpenAlex

Counterfactual quantum communication (CQC) is an intriguing paradigm originating from quantum mechanics, enabling spatially separated parties to achieve communication tasks without the need to transmit any physical particles across the channel. Conventional quantum communication typically relies on particle transmission or utilizes entanglement-assisted protocols with local operations and classical communication, such as quantum teleportation and superdense coding, to transfer information. As the research area of quantum communication is being rapidly developed, significant progress has been made in the development of CQC. In this paper, we present a comprehensive tutorial on CQC for transmitting both classical and quantum information, noting that no physical particles are found in the channel during successful information transmission. We begin by studying the origin of CQC, followed by a detailed examination of counterfactual protocols for classical and quantum information transmission. This paper highlights the applications of CQC and outlines future research directions.

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)0.003
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 score0.888
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.028
GPT teacher head0.295
Teacher spread0.267 · 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