QuFM: Towards Efficient Quantum Link Fidelity Measurements in Quantum Networks
Ziming Zhao, Tingting Li, Zhaoxuan Li · 2025
Quantum networks represent the forefront of modern communication systems, offering promising advantages over classical communication. They leverage the unique properties of quantum mechanics, such as superposition and entanglement, to enable tasks impossible in classical computing. However, the current era of Noisy Intermediate-Scale Quantum (NISQ) devices presents significant challenges due to the susceptibility of quantum systems to noise, leading to errors and decoherence that degrade the quality of quantum communication. To measure quantum link fidelity, quantum network benchmarking technology repeatedly assesses the fidelity of each link and averages the measurement results. Existing measurement schemes suffer from a trade-off between measurement overhead and accuracy. To this end, we propose QuFM, which is an adaptive scheme that leverages Kalman filter modeling to determine whether the stable state of Quantum State Tomography is reached when performing fidelity measurement, thereby achieving early termination of iteration to reduce the number of measurements. Through extensive experiments, we demonstrate the effectiveness of QuFM in achieving accurate and efficient fidelity measurements, and its applicability to different error types and network topologies.