Evidence map›Paper›PMID 42666593›Full record

ArticleResearch (Washington, D.C.)2026

Semantic Quantum Communication: Merging Semantic Extraction with Quantum Security for Efficient Secure Transmission.

Min Wang, Gui-Fa Zhu, Guo-Fei Long, Jianxing Guo, Yu-Chen Liu, Dong Pan, Athanasios V Vasilakos, Li-Ping Nong, Gui-Lu Long

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Min WangBeijing Academy of Quantum Information Sciences, Beijing 100193, China.ORCID https://orcid.org/0000-0001-5321-3323
Gui-Fa ZhuCollege of Physics and Technology, Guangxi Normal University, Guilin 541004, China.ORCID https://orcid.org/0009-0004-6852-5695
Guo-Fei LongBeijing TGW Quantum Technology Co., Ltd., Beijing 100015, China.
Jianxing GuoBeijing Academy of Quantum Information Sciences, Beijing 100193, China.
Yu-Chen LiuBeijing Academy of Quantum Information Sciences, Beijing 100193, China.
Dong PanBeijing Academy of Quantum Information Sciences, Beijing 100193, China.
Athanasios V VasilakosCenter for AI Research (CAIR), University of Agder (UiA), Grimstad, Norway.
Li-Ping NongCollege of Physics and Technology, Guangxi Normal University, Guilin 541004, China.
Gui-Lu LongBeijing Academy of Quantum Information Sciences, Beijing 100193, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantum secure direct communication (QSDC), a paradigm-shifting breakthrough in quantum communication, exploits quantum states for unmediated information transmission. Rooted in the inviolable fundamental laws of quantum mechanics, QSDC enables ultrasensitive detection of even the faintest eavesdropping attempts, guaranteeing true communication security solely when no interference exists. However, its practical scalability remains constrained by insufficient transmission rates. Semantic communication, which drastically boosts transmission efficiency by extracting core information features, nevertheless stays vulnerable to malicious intrusions. Integrating these paradigms promises to simultaneously enhance the equivalent data rate and security. Herein, we propose and experimentally validate a quantum semantic communication scheme, applying it to 3-dimensional point clouds. It achieves a 46.30-fold efficiency gain over direct transmission in the meaning domain, beyond the Wyner and Shannon capacity limits of syntactic communication. This breakthrough not only broadens the application scope of QSDC with limited bandwidth, but also marks a pivotal milestone in quantum information science.

Identifiers

PMID42666593
PMCPMC13522554

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.