Quantum neural network(QNN) is a new neural networks calculation model based on the combinations of traditional artificial neural networks(ANN) theory and quantum computation theory. In this dissertation, the theories(such as superposition,entangled, interference of quantum state and quantum parallel computing etc.)of quantum computation are introduced into traditional neural networks, have overcome some inherent limitations of those
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With the increasingly far-ranging application of network, the way of network intrusion becomes multitudinal, so it threatens the security of the network seriously. Only use static technology (Access Control, Firewall, Data encryption and so on) to build a security system is difficult to detect the rough intrusion. Intrusion detection as a dynamic security and defense
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Quantum computation is a novel inter-discipline that includes quantum mechanics and information science. As the representative of quantum computation, the quantum algorithm has great implication of superiority and strong vitality, and become the cutting-edge research field of many international scholars because of a high degree of parallelism, the index level of storage capacity, and the
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Quantum computation is a novel inter-discipline that includes quantum mechanics and information science. As the representative of quantum computation, the quantum algorithm has great implication of superiority and strong vitality, and become the cutting-edge research field of many international scholars because of a high degree of parallelism, the index level of storage capacity, and the
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AbstractQuantum computation is a novel inter-discipline that includes quantum mechanics and information science.The quantum algorithm based on the basic principles of quantum computation has been widely concerned by scholars around the; world,and has shown the very broad application prospects.Process neural network (PNN) is a new artificial neural network (ANN) model proposed at the beginning of
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