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Dr T Anvesh

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Open access Jul 2026

Intelligent Quantum Computing Communication Interfaces for Secure and Scalable Distributed Quantum Systems

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.

B. Tejasri, Busa Praneeth, Dr T Anvesh · 0 citations
Jul 2026

Artificial Intelligence-Enabled UAV Communication Framework for Intelligent and Energy-Efficient Wireless Networks in Future 6G Systems

An Artificial Intelligence-Enabled UAV Communication Framework (AI-UCF) designed to optimize aerial communication performance is proposed and demonstrates substantial improvements in coverage probability, throughput, latency, and energy efficiency compared with traditional communication architectures.

Dr T Anvesh, Vengala Vishnuvardhan, Tumma Raghavendra · 0 citations