Quantum-inspired Neural Networks with Applications

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Provided by: International Journal of Computer and Information Technology (IJCIT)
Topic: Networking
Format: PDF
On the basis of analyzing the principles of the quantum rotation gates and quantum controlled-NOT gates, an improved design for CNOT gated quantum neural networks model is proposed and a smart algorithm for it is derived based on the Levenberg-Marquardt algorithm in the authors' paper. In improved model, the input information is expressed by the qubits, which, as the control qubits after rotated by the rotation gate, control the qubits in the hidden layer to reverse. The qubits in the hidden layer, as the control qubits after rotated by the rotation gate, control the qubits in the output layer to reverse.
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