Quantum Voice‐Based Cyber‐Attacks: Threats, Vulnerabilities, and Post‐Quantum Mitigation Strategies

ABSTRACT The intersection of quantum computing and voice technology offers unparalleled security challenges and opportunities. In this paper, we propose quantum voice security as an interdisciplinary research field, bridging vulnerabilities where quantum algorithms breach classical voice protection mechanisms while enabling new defense mechanisms. We define a mathematical model for quantum based threats: (1) As cryptographic collapse by Shor's algorithm, breaching RSA/ECC (elliptic‐curve cryptography) protected voice biometrics and communications in polynomial time, enabling store now, decrypt later (SNDL) attacks; (2) As in adversarial amplification by Grover optimized perturbations in Fock space using entanglement monogamy for cross‐model transferability; (3) In biometric spoofing , by relativistic Quantum Generative Adversarial Networks (RQGANs), producing voiceprints indistinguishable from validated data under trace distance (TD) metrics. Concurrently, we define post‐quantum mitigation solutions: (i) In lattice based cryptosystems , (RLWE (Ring Learning With Errors) with ‐bit strength) safeguarding voiceprint encryption against quantum decoherence; (ii) in quantum based detection , by Wigner function negativity () and holographic entropy bound violation () to identify deepfakes; (iii) In hybrid authentication protocols (e.g., entanglement‐swapped TLS‐QUIC (Transport Layer Security over QUIC)) with composable security . Experimental results on multiple audio datasets ( LibriSpeech , Brahms ) validate quantum vulnerabilities—achieving 99.4% spoof detection accuracy and RLWE fault tolerance against ‐stable noise. Our work integrates lattice cryptography, quantum machine learning (QML), and information theory to reshape voice security models for the quantum age. The proposed RLWE based cryptosystem obtained 98.6% encryption fidelity and 95.2% spoof detection on real‐world datasets, which is 6%–7% more accurate and 10%–12% more reliable against quantum noise compared to classical baselines.