Optimizing quantum image transmission through an adaptive quantum error correction framework

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Jayasinghe, Udara and Fernando, Thanuj and Fernando, Anil; (2026) Optimizing quantum image transmission through an adaptive quantum error correction framework. In: IEEE International Conference of Consumer Electronics (ICCE). 2026 IEEE International Conference on Consumer Electronics (ICCE) . IEEE, ARE. ISBN 979-8-3315-5343-2 (https://doi.org/10.1109/ICCE67443.2026.11449609)

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Abstract

While quantum communication can overcome limitations of classical systems, it is limited by fragile quantum states and the complexity of underdeveloped quantum error correction (QEC) methods. This study presents an adaptive multi-qubit QEC scheme for quantum image transmission, where the code rate is dynamically adjusted based on real-time channel conditions to balance error resilience and computational complexity. For this approach, we assume that the receiver has accurate knowledge of the channel conditions to enable effective adaptation. The process begins with source encoding using JPEG and HEIF formats, followed by quantum encoding and multi-qubit QEC using three, five, seven, and nine qubits. The quantum channel encoded data are transmitted through a noisy quantum channel. At the receiver, decoding occurs in three stages: quantum channel decoding, quantum-to-classical conversion (quantum decoding), and source decoding to reconstruct the image. Experimental results show that the proposed system outperforms fixed-rate QEC methods and classical systems, achieving Peak Signal-to-Noise Ratio (PSNR) values of up to 40.51 dB, Structural Similarity Index Measure (SSIM) of up to 0.9730 and Universal Quality Index (UQI) of up to 0.9998 for JPEG images, and PSNR of up to 45.44 dB, SSIM up to 0.9889 and UQI up to 0.9999 for HEIF images.

ORCID iDs

Jayasinghe, Udara ORCID logoORCID: https://orcid.org/0009-0000-1332-9786, Fernando, Thanuj and Fernando, Anil ORCID logoORCID: https://orcid.org/0000-0002-2158-2367;
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