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Research On Quantum Communication Network Capacity

Posted on:2022-07-29Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q ZhouFull Text:PDF
GTID:2480306740994919Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Quantum informatics,which is born by the combination of quantum mechanics and information theory,has created a new space for informatics.Quantum communication network based on quantum informatics is an important part of the future communication network because of its nonlocality and state superposition in quantum domain,which makes it safe and efficient in information processing.In the research of communication network,network capacity is an important index in the process of network construction,and it is necessary to carry out research on it.This paper mainly studies the quantum communication network topology model and quantum communication network transmission model,and then proposes the quantum communication network layered model,and further studies and analyzes the quantum communication network capacity model and its influencing factors.Firstly,the paper studies and analyzes the basic characteristics of three kinds of nodes and three links in quantum communication network by comparing the special characteristics of quantum communication quantum nodes with traditional communication nodes,and divides the model into three layers.Firstly,the entangled particle distribution network layer is mainly composed of quantum distribution nodes,which can distribute the entangled quantum pairs to the quantum communication link layer through the quantum distribution node.The quantum communication layer is mainly composed of quantum communication nodes.The layer realizes the generation,link and implementation of quantum communication links.Finally,there is a layer structure of classical communication link layer,which mainly transmits classical information.Secondly,the transmission model of quantum communication network is studied and analyzed.Through the research of EPR generation rate of basic link on quantum path,the research of EPR generation rate of n-hop quantum communication link is extended,and the effective scheme of multi hop quantum communication network link is analyzed: the link with higher rate should be connected first,and the link with lower rate should be avoided as far as possible to avoid its nesting in the next link.In addition,based on the particularity of quantum communication links and nodes,this paper proposes a quantum communication network routing metric model with the number of EPR pairs generated between nodes as resources,and gives the design scheme of the logic circuit of the system.In this paper,based on the topology model and transmission model of quantum communication network,the capacity model of quantum communication network is analyzed,and on this basis,the factors affecting the capacity are simulated and analyzed.Firstly,the numerical relationship between the number of hops and the number of entanglement swapping schemes in multi hop quantum communication is simulated and analyzed,and the exponential growth relationship between them is found through simulation fitting,At the same time,it is necessary to avoid the suggestion of connecting the link with lower rate first to avoid its nesting in the next link.Then,by analyzing the quantum communication network model composed of 100 quantum communication nodes,the influence of the number and location of quantum distribution nodes on the quantum communication network model and the capacity of quantum communication network are studied.Finally,the capacity of discrete quantum communication network is simulated and analyzed,and the maximum spanning tree model is obtained by using prim algorithm through two groups of weighted undirected graphs.On this basis,the influence of different entanglement resource states on the capacity of discrete quantum communication network is studied and analyzed.
Keywords/Search Tags:quantum communication, network model, capacity analysis, multi-hop transmission teleportation
PDF Full Text Request
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