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<p>Quantum communication leverages fundamental principles of quantum mechanics, such as superposition and measurement-induced disturbance, to enable robust information transfer under noisy conditions. In this work, a novel quantum-inspired communication framework for continuous-valued audio signal transmission is proposed and evaluated through classical simulation. The system employs Single-Qubit Probability Amplitude Modulation (SQPAM) to preserve amplitude continuity and integrates a three-qubit Quantum Inspired Error Correction scheme to mitigate channel-induced bit-flip errors, while channel impairments are modeled using a Monte Carlo–based Depolarizing noise process for controlled evaluation across varying noise levels. At the receiver, majority-voting decoding followed by inverse SQPAM mapping reconstructs the transmitted audio signal. Performance evaluation using objective reconstruction measures, perceptual quality metrics, and quantum-domain fidelity analysis demonstrates significant improvements over non-error-corrected and classical repetition-based baselines, achieving STOI values up to 0.9984 and providing an effective SNR advantage of approximately 2–3&#xa0;dB, thereby highlighting the robustness and practical potential of the proposed framework for high-fidelity audio transmission in noise-limited environments.</p>

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A Quantum-inspired framework for continuous-valued audio signal transmission using SQPAM and quantum error correction

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月6日

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  • Shaik Riyaz Hussain,
  • A. Hari Chandan Rajiv,
  • P. V. R. Jitendara,
  • Bandi Anushka

摘要

Quantum communication leverages fundamental principles of quantum mechanics, such as superposition and measurement-induced disturbance, to enable robust information transfer under noisy conditions. In this work, a novel quantum-inspired communication framework for continuous-valued audio signal transmission is proposed and evaluated through classical simulation. The system employs Single-Qubit Probability Amplitude Modulation (SQPAM) to preserve amplitude continuity and integrates a three-qubit Quantum Inspired Error Correction scheme to mitigate channel-induced bit-flip errors, while channel impairments are modeled using a Monte Carlo–based Depolarizing noise process for controlled evaluation across varying noise levels. At the receiver, majority-voting decoding followed by inverse SQPAM mapping reconstructs the transmitted audio signal. Performance evaluation using objective reconstruction measures, perceptual quality metrics, and quantum-domain fidelity analysis demonstrates significant improvements over non-error-corrected and classical repetition-based baselines, achieving STOI values up to 0.9984 and providing an effective SNR advantage of approximately 2–3 dB, thereby highlighting the robustness and practical potential of the proposed framework for high-fidelity audio transmission in noise-limited environments.