Towards Quantum-Enhanced Edge Computing: A QKD-based Framework with Fault-Tolerant Task Offloading and Attack Resilience
Pratik Raj, Syed Majed Ashraf, Arzad Alam Kherani +1 more
Next-generation networks rely on edge computing for low-latency, distributed processing, yet face critical security vulnerabilities (e.g., eavesdropping) and fault tolerance challenges. To address these limitations, we propose a quantumedge computing framework integrating Quantum Key Distribution (QKD) with classical edge architecture enhanced by quantum teleportation and Einstein-Podolsky-Rosen (EPR) pair management for secure, distributed processing. QKD enables information-theoretically secure key exchange by leveraging quantum principles like no-cloning and entanglement, while quantum error correction enhances resilience against node failures. Our hybrid approach combines edge computing’s efficiency with quantum security, ensuring robust operation in adversarial environments. For the validation we have simulated hybrid network topology consisting of 6 different nodes acting as edge and user equipments. Data is being exchanged between nodes in the form of key pairs. To evaluate fault tolerance and security resilience, we simulated 3 scenarios: 1) Normal operating state, 2) Induce fault state and 3) Security breach state. The Simulations demonstrate significant improvements: 10× faster attack detection, 25× faster recovery, and 1.85× higher task success under simultaneous failure and attack. Overall, the quantum-edge framework achieves a 2.88× performance boost, offering a 3× advantage over classical systems.
IEEE International Conference on Advanced Networks and Telecommunications Systems•Dec 15, 2025•0 citations