Quantum Communication and Model Simulation

Scope

This work focuses on end-to-end quantum image transmission frameworks that leverage frequency-domain processing and multi-qubit encoding to improve robustness under noisy channel conditions. The scope is intentionally limited to quantum–classical hybrid systems, where compressed image bitstreams are mapped to quantum states and processed using quantum Fourier transform–based architectures, including both QFT-based multi-qubit transmission and quantum OFDM-inspired designs. Emphasis is placed on fair bandwidth-constrained comparisons across different qubit sizes, as well as on practical performance metrics relevant to image fidelity, including BER, PSNR, SSIM, and UQI. The study does not aim to replace classical codecs or implement full quantum hardware, but instead provides a system-level and algorithmic evaluation of how frequency-domain quantum processing and high-dimensional encoding jointly improve transmission quality. By unifying insights from quantum OFDM and frequency-domain multi-qubit communication, this work defines a clear experimental and methodological scope for advancing practical, noise-resilient quantum image transmission systems.