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International Journal of Science, Strategic Management and Technology

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ISSN: 3108-1762 (Online)
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INTELLIGENT QUANTUM COMPUTING COMMUNICATION INTERFACES FOR SECURE AND SCALABLE DISTRIBUTED QUANTUM SYSTEMS

AUTHORS:
Bojjam Tejasri
Busa Praneeth
Mentor
Dr T Anvesh
Affiliation
Department Of ECE, SVS Group of Institutions, Hanmakonda, Telangana
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Quantum computing communication interfaces are emerging as a fundamental technology for enabling seamless interaction between quantum processors, classical computing systems, cloud infrastructures, and distributed quantum networks. The development of efficient communication interfaces is essential to address challenges such as quantum state transmission, synchronization, error correction, latency, scalability, and interoperability across heterogeneous computing environments. This paper presents a comprehensive study of quantum computing communication interfaces by examining their architecture, communication protocols, hardware components, and software integration mechanisms. The proposed framework incorporates quantum-classical hybrid communication, quantum networking principles, secure quantum key distribution, adaptive resource management, and intelligent error mitigation techniques to improve communication reliability and computational efficiency. Furthermore, the study investigates the role of emerging technologies such as quantum internet, photonic interconnects, edge-cloud integration, and artificial intelligence in enhancing interface performance. Performance evaluation demonstrates that the proposed communication interface architecture achieves reduced communication latency, improved transmission fidelity, enhanced scalability, optimized resource utilization, and stronger security compared with conventional quantum communication approaches. The findings indicate that intelligent quantum communication interfaces can significantly accelerate the practical deployment of distributed quantum computing systems and future large-scale quantum applications.

 
Keywords
Quantum Computing Quantum Communication Interfaces Quantum Networks Quantum Internet Quantum-Classical Communication Quantum Key Distribution (QKD) Quantum Error Correction Distributed Quantum Computing Photonic Interconnects Artificial Intelligence.
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Tejasri, B. & Praneeth, B. (2026). Intelligent Quantum Computing Communication Interfaces for Secure and Scalable Distributed Quantum Systems. International Journal of Science, Strategic Management and Technology, 02(7), 1-9. https://doi.org/10.55041/ijsmt.v2i7.101

Tejasri, Bojjam, and Busa Praneeth. "Intelligent Quantum Computing Communication Interfaces for Secure and Scalable Distributed Quantum Systems." International Journal of Science, Strategic Management and Technology, vol. 02, no. 7, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijsmt.v2i7.101.

Tejasri, Bojjam, and Busa Praneeth. "Intelligent Quantum Computing Communication Interfaces for Secure and Scalable Distributed Quantum Systems." International Journal of Science, Strategic Management and Technology 02, no. 7 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijsmt.v2i7.101.

References

  1. Mahmud, I., & Abdelhadi, A. (2025). Artificial intelligence in quantum communications: A comprehensive survey. IEEE Access.

  2. Chen, K. C., Burt, F., Panigrahy, N. K., & Leung, K. K. (2026). Adaptive Resource Orchestration for Distributed Quantum Computing Systems. IEEE Internet Computing.

  3. Xu, M., Niyato, D., Kang, J., Xiong, Z., Cao, Y., Gao, Y., ... & Yu, H. (2024). Generative AI-enabled quantum computing networks and intelligent resource allocation. arXiv preprint arXiv:2401.07120.

  4. Chen, S. Y. C., & Chen, K. C. (2025, June). Quantum Artificial Intelligence for Critical Infrastructure: A Survey and Vision. In 2025 International Joint Conference on Neural Networks (IJCNN)(pp. 1-8). IEEE.

  5. Chava, K., Kumar, P. K., Sakthivel, S., Sureshkumar, S., Balaram, A., & Vigneshwaran, K. S. (2025, May). Quantum Computing Empowered Intelligent Frameworks for Seamless Cross Border Ecosystem Engagement Secure Data Exchange and Scalable Global Collaboration. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)(pp. 1977-1988). Atlantis Press.

  6. Zhang, Y., Yang, Z., & Liu, X. (2025). A Digital Grid Security Architecture Based on Quantum Key Interaction and Web Engineering for Distributed Energy Systems. Journal of Web Engineering24(6), 997-1022.

  7. Naayini, P., Bura, C., & Jonnalagadda, A. K. (2025). The convergence of distributed computing and quantum computing: A paradigm shift in computational power. International Journal of Scientific Advances (IJSCIA)6(2), 265-275.

  8. Cuomo, D., Caleffi, M., & Cacciapuoti, A. S. (2020). Towards a distributed quantum computing ecosystem. IET Quantum Communication1(1), 3-8.

  9. Zhou, Y., Tang, Z., Nikmehr, N., Babahajiani, P., Feng, F., Wei, T. C., ... & Zhang, P. (2022). Quantum computing in power systems. IEnergy1(2), 170-187.

  10. Andreas, A., Mavromoustakis, C. X., Mastorakis, G., Bourdena, A., & Markakis, E. (2025). Quantum Computing in Semantic Communications: Overcoming Optimization Challenges With High-Dimensional Hilbert Spaces. IEEE Access.

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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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