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Semantic quantum secure direct communication

Dong Pan, Gui‐Lu Long

Published Feb 20, 2026• 5 citations
Publisher

Abstract

Quantum communication has reached a rate bottleneck, yet enhancing its throughput remains of profound significance. Here, we propose a scheme termed semantic quantum secure direct communication (QSDC), which is a novel paradigm integrating semantic communication with QSDC to realize highly efficient, task-oriented, and intrinsically secure information transmission. In semantic QSDC, meaningful semantic content is directly encoded into quantum states, whereby the fundamental laws of quantum physics guarantee inherent eavesdropping-detection capability and information-theoretic security. By harnessing semantic compression and artificial intelligence–assisted encoding strategies, this approach surpasses the intrinsic rate constraints of conventional QSDC. Simulation results show that semantic QSDC can surpass the Shannonian mutual information bound compared with conventional QSDC systems and demonstrate its potential to break through the linear rate-transmittance bound of quantum communication. These findings pave the way for high-rate secure communication.

DOI
10.1007/s43673-026-00181-1

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Quantum communication has reached a rate bottleneck, yet enhancing its throughput remains of profound significance. Here, we propose a scheme termed semantic quantum secure direct communication (QSDC), which is a novel paradigm integrating semantic communication with QSDC to realize highly efficient, task-oriented, and intrinsically secure information transmission. In semantic QSDC, meaningful semantic content is directly encoded into quantum states, whereby the fundamental laws of quantum physics guarantee inherent eavesdropping-detection capability and information-theoretic security. By harnessing semantic compression and artificial intelligence–assisted encoding strategies, this approach surpasses the intrinsic rate constraints of conventional QSDC. Simulation results show that semantic QSDC can surpass the Shannonian mutual information bound compared with conventional QSDC systems and demonstrate its potential to break through the linear rate-transmittance bound of quantum communication. These findings pave the way for high-rate secure communication.
Quantum communication has reached a rate bottleneck, yet enhancing its throughput remains of profound significance. Here we propose a scheme termed quantum semantic communication-a novel paradigm that integrates semantic communication with quantum secure direct communication to realize highly efficient, task-oriented, and intrinsically secure information transmission. In quantum semantic communication, meaningful semantic content is directly encoded into quantum states, whereby the fundamental laws of quantum physics guarantee inherent eavesdropping-detection capability and information-theoretic security. By harnessing semantic compression and artificial intelligence-assisted encoding strategies, this approach surpasses the intrinsic rate constraints of conventional quantum secure direct communication. Simulation results show that quantum semantic communication can surpass the Wyner secure information bound compared with conventional quantum secure direct communication systems and demonstrate its potential to break through the linear distance bound of quantum communication. These findings pave the way for high-rate secure communication.
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. If eavesdropping or intrusion is detected mid-transmission, the system instantly alerts users and severs data flow, shielding them from unauthorized tracking and mitigating hacker threats. Over two decades, QSDC has seen extraordinary advancements, currently attaining kilobit-per-second transmission over 100 km of commercial optical fiber. However, its practical scalability remains constrained by insufficient transmission rates, a critical bottleneck. 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 equivalent data rate and security. Herein, we propose and experimentally validate a quantum semantic communication scheme, applying it to 3D point clouds. It achieves a 46.30-fold efficiency gain over direct transmission, surpassing both Wyner and Shannon capacity limits. This breakthrough not only clears the path for large-scale QSDC deployment but also marks a pivotal milestone in quantum information science.
Quantum communication has developed into various classes, including recent novel quantum secure direct communication (QSDC) schemes. The QSDC method transmits confidential information directly between parties over a quantum channel without requiring a shared private key. Even though QSDC offers improved security guarantees and reduces the possibility of security loopholes, practical applications such as secure information rates, long-distance quantum communication and networking, and integration with existing technologies still requires improvement. Meanwhile, advances in artificial intelligence (AI) and machine learning (ML) continue to revolutionize several fields, including quantum communication, which is challenging to control and maintain effectively for optimum performance. Various ML techniques have been applied to quantum communication systems to mitigate noise-induced errors, analyze communication protocols, and optimize secure key generation rates. While this represents a significant development and has the potential to address challenges facing QSDC applications, we are unaware of ML applications specifically improving QSDC systems. Due to this, we bring forward the discussion and unveil the critical need to integrate AI and ML models into QSDC to enhance security, improve fault tolerance, increase communication distance, and optimize resource allocation. Consequently, this work establishes a practical framework for unlocking the full potential of QSDC protocols and, more broadly, practical quantum communication.
In this paper, a Quantum Secure Direct Communication (QSDC) network is proposed and investigated. The protocol allows four independent users to exchange their confidential information pairwise, with the help of a central controller that regulates authorization and separation among concurrent communication flows. Quantum channels are used only in the preliminary distribution of the entangled states; afterward, no quantum-encoded message is transmitted. All message extraction is local, through direct measurements. This drastically reduces reliance on quantum transmission, constrains photon-loss effects, minimizes quantum hardware overhead, and increases the achievable message throughput compared to previous QSDC protocols. Given that the protocol utilizes entanglement distribution instead of consecutive quantum modulation, a very promising perspective is opened for scalability in future multi-party quantum communication systems. The simulation results confirm the strong robustness against classical and quantum adversarial strategies, testified by high detection probabilities and abort conditions that prevent information leakage.
As a popular decentralized and distributed database exhibiting transparency and unforgeability, blockchain has received widespread attention. At the time of writing, its security hinges on classical cryptography, which maintains a high grade of security by exploiting the potentially excessive computational complexity of mathematical problems to be solved by state-of-the-art computers. However, as computational technology develops, this encryption philosophy is likely to be challenged and there is a risk of ’store now and decrypt later’ attacks. A compelling solution to this security threat is to intrinsically integrate blockchain with quantum technology. Against this background, we propose a quantum blockchain scheme relying on quantum secure direct communication (QSDC). Specifically, we conceive QSDC-based blockchain for identity verification, message encryption, and consensus. We also propose an optical network based realization of the proposed QSDC-aided blockchain using present-day technology. Our simulations quantify the benefits of the scheme, especially in terms of its resource utilization. This work provides a new prospect for the intrinsic fusion of quantum information technology and blockchain technology, paving the way for its rapid commercialization.
Quantum secure direct communication (QSDC) enables the direct and secure transmission of messages without the need for prior key distribution, offering a groundbreaking paradigm in quantum communication. This paper presents a novel symmetric QSDC protocol that ensures immunity to collective-phase and collective-rotation noises while enabling efficient and two-way message transfer. The proposed protocol features an innovative approach where qubits are transmitted only during the initial entanglement sharing phase, eliminating the need to send message carrying qubits thereafter. By leveraging this design, the protocol minimizes vulnerability to external noise and eavesdropping attempts. The symmetry of the protocol allows both parties to exchange messages seamlessly and securely, ensuring equal communication procedure. Analytical analysis and theoretical proofs demonstrate the robustness and security of the protocol under non-secure quantum channel, marking a significant advancement in practical quantum communication systems. The proposed scheme follows an entanglement-based QSDC paradigm, where confidential information is embedded into quantum correlations rather than being directly transmitted over the quantum channel.