🤖 AI Summary
This work addresses the lack of a unified mechanism for coordinating distributed measurements and collecting data across heterogeneous devices in existing quantum network testbeds. The authors propose a "measurement plane"—a distributed architecture decoupled from the data, control, and management planes—structured into four layers: application, experiment coordination, capability, and resource agents. This novel architecture introduces, for the first time, a dedicated plane specifically for measurement coordination, leveraging containerized microservices and a publish-subscribe communication model to enable online measurement and feedback in complex quantum experiments. The approach was successfully demonstrated on a two-node platform, achieving coincidence counting and polarization-entangled photon distribution with an interference visibility of 98%, substantially reducing manual configuration and execution overhead.
📝 Abstract
Quantum networking testbeds lack a distinct plane for coordinating distributed measurements and collecting experimental data across heterogeneous devices. To address this gap, we present the Measurement Plane, a dedicated plane that complements the data, control, and management planes rather than replacing or extending their pipelines. The contribution is presented as a distributed framework that organizes measurement functions into four layers: application, experiment coordination, capability, and resource agents. Our design separates user workflows from device-specific control.
We implemented the framework as containerized microservices connected through publish--subscribe messaging, and validated it on a two-node quantum networking setup connected by an optical network. The framework successfully coordinated remote nodes to execute coincidence measurement and polarization entanglement distribution experiments with visibility interference of up to 98 percent. This evaluation demonstrated the effectiveness of the framework for supporting complex, distributed quantum experiments, enabling online measurement and feedback, and significantly reducing manual configuration and execution effort.