Testbed Protocol for Adaptive Superdense Coding in Distributed Quantum Networks
Syed Emad Uddin Shubha, Tasnuva Farheen
Distributed quantum networks require robust protocols for high-capacity, noise-resilient communication between spatially separated nodes. Superdense coding, which leverages shared entanglement to transmit two classical bits per qubit, is a key primitive for benchmarking such networks. However, entanglement degradation from channel noise and decoherence poses major challenges for achieving scalable throughput in practical environments. We introduce a testbed protocol for adaptive superdense coding in distributed quantum networks (DQNs), integrating the five-qubit error correction code with a global, feedback-driven purification routine. By continuously monitoring quantum discord (QD) and entanglement of formation (EoF) via dedicated pilot pairs, our protocol dynamically tunes purification parameters to counteract amplitude and phase damping, while avoiding the loss of entangled pairs inherent to traditional schemes. Simulation results demonstrate that this hybrid quantum-classical approach enhances channel fidelity and throughput under realistic noise, providing a scalable testbed for distributed quantum error correction strategies and hybrid control in next-generation quantum networks.
IEEE International Conference on Quantum Computing and Engineering (QCE)•Aug 30, 2025•0 citations