Quantum communication for semantic communication based image transmission
Jayasinghe, Udara and Samarathunga, Prabhath and Pollwaththage, Nimesh and Fernando, Thanuj and Fernando, Anil (2026) Quantum communication for semantic communication based image transmission. IEEE Transactions on Vehicular Technology. ISSN 1939-9359 (https://doi.org/10.1109/TVT.2026.3663843)
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Abstract
The growing demand for reliable image transmission in noisy vehicular networks exposes the limitations of classical communication, which often suffers from bandwidth constraints and susceptibility to noise. Classical semantic communication addresses this by focusing on essential information, but it still struggles to maintain consistent image quality under adverse channel conditions. To address these limitations, this study proposes a quantum communication system for semantic communication-based image transmission by leveraging quantum superposition. The system first uses a semantic encoder to generate a compact latent representation. This representation is subsequently processed by a channel encoder and mapped into quantum superposition states using a quantum encoder. The resulting quantum states are sent through a noisy quantum channel, where they are measured and decoded at the receiver to recover the corresponding classical bitstream. The bitstream is then channel decoded to recover the latent vector, which is used by a semantic decoder to reconstruct the image. Results from the experiments confirm that the proposed system outperforms classical semantic communication systems, achieving a peak signal-to-noise ratio (PSNR) of up to 28.55 dB, a structural similarity index (SSIM) of up to 0.7996, a universal quality index (UQI) of up to 0.7836, and perfect classification accuracy at channel SNR levels as low as 6 dB, as evaluated by a convolutional neural network (CNN). These results highlight the system's effectiveness in task-oriented communication and show that combining quantum and semantic communication enhances image quality and reliability in challenging vehicular scenarios.
ORCID iDs
Jayasinghe, Udara
ORCID: https://orcid.org/0009-0000-1332-9786, Samarathunga, Prabhath, Pollwaththage, Nimesh
ORCID: https://orcid.org/0009-0002-4822-978X, Fernando, Thanuj and Fernando, Anil
ORCID: https://orcid.org/0000-0002-2158-2367;
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Item type: Article ID code: 95568 Dates: DateEvent11 February 2026Published11 February 2026Published Online1 February 2026AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science
Science > Mathematics > Electronic computers. Computer science > Quantum computers
Technology > Electrical engineering. Electronics Nuclear engineering > TelecommunicationDepartment: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 16 Feb 2026 16:23 Last modified: 26 Feb 2026 08:15 URI: https://strathprints.strath.ac.uk/id/eprint/95568
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