A robust multi-qubit quantum communication system for image transmission over error prone channels
Jayasinghe, Udara and Kushantha, Namesh and Fernando, Thanuj and Fernando, Anil (2025) A robust multi-qubit quantum communication system for image transmission over error prone channels. IEEE Transactions on Consumer Electronics. ISSN 0098-3063 (https://doi.org/10.1109/tce.2025.3594368)
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Abstract
Multi-qubit encoding is a quantum encoding technique that uses multiple qubits to represent information, enabling higher data throughput. This study explores its application in compressed image transmission, comparing its performance to single-qubit encoding in both uncoded and channel-coded configurations. For image compression, JPEG and HEIF formats are used, with source coding rates adjusted to ensure similar bandwidth utilization. The compressed bitstream is optionally protected by channel coding before undergoing quantum encoding using qubit sizes from 1 to 8 for quantum channel transmission. At the receiver, quantum decoding reconstructs classical bits, followed by optional channel decoding, and finally, source decoding restores the image. Image quality is assessed using peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM) and universal quality index (UQI). Results show that increasing the qubit encoding size improves noise resilience, with eight-qubit encoding achieving a maximum channel SNR gain of 15 dB for JPEG and 17 dB for HEIF under channel coding, demonstrating greater robustness compared to single-qubit encoding but with higher computational complexity. To address this, an adaptive multi-qubit encoding process is proposed, dynamically adjusting qubit usage by utilizing fewer qubits for lower noise levels and higher qubits for higher noise conditions while balancing noise resilience and computational complexity under the assumption of perfect channel estimation.
ORCID iDs
Jayasinghe, Udara
ORCID: https://orcid.org/0009-0000-1332-9786, Kushantha, Namesh, Fernando, Thanuj and Fernando, Anil
ORCID: https://orcid.org/0000-0002-2158-2367;
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Item type: Article ID code: 94034 Dates: DateEvent31 July 2025Published31 July 2025Published Online29 July 2025AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science > Quantum computers Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 04 Sep 2025 08:35 Last modified: 04 Nov 2025 20:18 URI: https://strathprints.strath.ac.uk/id/eprint/94034
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