Papers for

secure communication developers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Quantum Markov blankets improve efficiency and security in quantum networks

QCMI-Based Quantum Markov Blanket Discovery for Semantic Quantum Networks

Abstract: Quantum-enabled semantic communication networks (QESCs) leverage quantum technologies to transmit data meaning efficiently, yet face challenges from costly resources and noise. This letter introduces Quantum Markov Blankets (QMBs) to QESCs, a novel framework to isolate essential quantum information for semantic transmission. We prove QMBs' validity using quantum conditional mutual information, showing that they shield semantic content from irrelevant subsystems. An implementation strategy optimises QMB detection, reducing resource use. Simulations suggest that QMB-based QESCs cut qubit consumption by 50\%-75\% while enhancing fidelity compared with non-optimised quantum semantic schemes. Unlike classical approaches, QMBs offer inherent security by limiting an eavesdropper's access to classical data outside the blanket. We outline future directions, including real-time QMB adaptation. This work bridges quantum information theory and semantic communication, advancing resource-efficient and secure quantum networks.

Sat 19 SeptInformation Theory

The gist

Transmitting important information in quantum communication networks is hard because quantum resources are costly and noise can interfere. The authors introduce Quantum Markov Blankets, a way to identify and isolate only the essential quantum information needed, which cuts down resource use and boosts accuracy. Their method also naturally protects data by restricting what an eavesdropper can see outside these blankets. Simulations show it can reduce qubit use by up to three-quarters and improve communication quality compared to existing methods.

Open → 2609.23190v1