Quantum TRNG for Secure Data Transmission

Authors

DR. S. K. Rajalakshmi

Assistant Professor Department of Electronics and communication Engineering, A.V.C College of Engineering, Mayiladuthurai, Tamil Nadu (India)

M. Logeshwari

IV-ECE, Department of Electronics and communication Engineering A.V.C College of Engineering, Mayiladuthurai, Tamil Nadu (India)

S. Swasthika Janani

IV-ECE, Department of Electronics and communication Engineering A.V.C College of Engineering, Mayiladuthurai, Tamil Nadu (India)

R. Priyadharshini

IV-ECE, Department of Electronics and communication Engineering A.V.C College of Engineering, Mayiladuthurai, Tamil Nadu (India)

Article Information

DOI: 10.51584/IJRIAS.2026.11010095

Subject Category: Technology

Volume/Issue: 11/1 | Page No: 1134-1136

Publication Timeline

Submitted: 2026-01-24

Accepted: 2026-01-29

Published: 2026-02-11

Abstract

Secure data transmission depends on unpredictable cryptographic keys. Conventional pseudorandom number generators are deterministic and vulnerable to prediction. This work proposes a Quantum True Random Number Generator (Q-TRNG) that uses quantum superposition and noise to produce truly random numbers. The generated quantum entropy is converted into high-quality random bits and applied to secure encryption, improving confidentiality and resistance to attacks. The proposed system offers a reliable and future- ready solution for quantum-grade secure communication.

Keywords

Q-TRNG, Quantum Randomness, Secure Data Transmission, Cryptography

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References

1. S. T. Author et al., “A Method for Implementing a SHA256 Hardware Accelerator Inside a Quantum True Random Number Generator (QTRNG),” in Proc. 2025 IEEE International Conference on Quantum Cryptography and Secure Systems, IEEE Xplore, 2025. [Google Scholar] [Crossref]

2. “Quantum and Post-Quantum Cryptography,” in Cyber Security and Digital Forensics: Challenges and Future Trends, IEEE Xplore, 2025. [Google Scholar] [Crossref]

3. Rukhin et al., “A statistical test suite for random and pseudorandom number generators,” NIST Special Publication 800-22, 2022. [Google Scholar] [Crossref]

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