Performance evaluation method of quantum secret communication network

Abstract

The invention discloses a performance evaluation method for a quantum secret communication network, can measure the communication demand satisfaction degree of a network topology level, and belongs tothe field of performance evaluation of the quantum secret communication network. The method comprises the steps that S1, based on the graph theory, simulating a quantum secret communication network through a graph G = (V, E, F), wherein V, E and F represent sets of nodes, edges and network flows in the quantum secret communication network based on the graph theory respectively; representing the attribute of the node si by using the connection requirement of a connection node pair (si, tj) in the quantum secret communication network; representing the attribute of the edge (u sigma, v phi) by using the channel capacity and the key capacity in the quantum secret communication network; forming a non-negative function f (si, tj, u [sigma], v [phi]) by using the connection node pair with the attribute and the edge, and representing a network flow of the connection node pair (si, tj) on the edge (u [sigma], v [phi]); and S2, calculating an evaluation index B according to the graph G = (V, E,F): when the value of B is greater than 1, indicating that the current quantitative sub-secret communication network can meet the communication requirements of all connection node pairs in K.

Description

technical field [0001] The invention relates to an evaluation method of a quantum security communication network, belonging to the field of quantum security communication network performance evaluation. Background technique [0002] With the rapid development of QKD technology and its increasing applicability, its point-to-point communication mechanism has become the main bottleneck limiting its application scale. In order to overcome the limitations of node scale and communication distance, it is an inevitable development trend to use QKD equipment to build QSCN by designing a reasonable network planning scheme. When designing a network solution, using appropriate evaluation indicators to accurately evaluate the performance of the network plays a vital role in network quality assurance, cost control, optimal design, and performance verification. [0003] The three typical methods used for performance evaluation are: test verification, simulation model, and mathematical ana...

AI Technical Summary

Problems solved by technology

However, the currently used QSCN performance evaluation index can only calculate the performance of the running network, but cannot give the specific factors affecting the performance and the performance limit of the current network, and cannot give an evaluation of the rationality of the current network scheme

The main shortcomings of the existing research are: (1) The performance evaluation method based on test verification is too expensive, and it is difficult to change the network topology and parameters; (2) The current QSCN simulation model based on the simulation method can only simulate and analyze the operation (3) In terms of QSCN performance evaluation, it is impossible to calculate the performance limit of the network for a given QSCN, and it is impossible to evaluate the rationality of the current network scheme

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