Visual media for monitoring trunk quantum networks

Robust diagnostics of dark counts for quantum networks

“…Robust diagnostics of the working complexes of quantum communication (QC) [1] is crucial for the implementation of quantum networks capable of working in both urban [2,3] and trunk [4,5] standard fiber-optic communication lines. At the same time, from the point of view of communication systems, trunk quantum networks (TQN) with lines of more than 100 km and losses between nodes of more than 25 dB, where the signal-tonoise ratio cannot be considered large, are particularly difficult to implement [6]. From the point of view of fundamental statistics, the fundamental difficulty here lies in the fact that despite the relatively low average percentage of errors, the magnitude of the error span and the variance of errors can be extremely large, which entails low reliability of diagnosing errors when performing continuous tests of the TQN and especially large-scale TQN with a large number of nodes.…”