Optimized dynamic resource allocation in quantum networks for secure and efficient wireless communication

Quantum networks provide both security and faster communication; however, they face critical challenges in terms of dynamic resource allocation and maintaining robust security. Current static allocation methodologies frequently lead to excessive latency and attack vulnerabilities, which restrict performance and scalability. To address these challenges, this article presents a secure and adaptive resource allocation outline for quantum networks, merging quantum-enhanced security protocols with real-time optimization. The framework utilizes Quantum Key Distribution - Single Center Method (QKD-SCM) to exchange secure and scalable keys. and the Stochastic Programming and the Cooperative-Qubit-Allocation-Problem (SP-CQAP), which addresses dynamic resource allocations. High-fidelity entangled resources are managed with the Fidelity Maintenance Scheme Based on Prioritized Purification (FMSPP), and congestion is avoided using Self-Adaptive and Content-Based Scheduling (CACS). The proposed framework was evaluated using NS-3.30.1 and Python 3.7.4, running on Ubuntu 18.4 LTS. In comparison to already-existing methodologies within the segment, the proposed framework demonstrated reduced latency of 20 ms, energy efficiencies of 90%, a quantum key distribution success rate of 90%, and resource utilization equating to 70%. The findings demonstrate the promise of quantum-enhanced wireless communication through dynamic resource allocation for safe, low-latency, and high-performance networking. Removed: security enhancement implied earlier.