Construction of continuous-variable coherent state quantum neural network model

Abstract

Abstract: In order to apply the powerful neural network to the continuous-variable quantum information processing, it is need to construct the continuous-variable quantum neural network model. In the basic element of coherent state quantum logic gates, quantum circuit is constructed with input layer, hidden layer and output layer according to the principle of quantum neural network, it realizes the function of continuous-variable coherent quantum neural network (CSQNN). Quantum states operation are realized by using a multi-bit CNOT gate, and the learning training of network parameters is completed by using phase rotation gates. The simulation results show that the fidelity of quantum teleportation system is significantly improved to approach 1 by the correction of CSQNN which through the amplitude damping channel with damping coefficient 0.5. It is showed that the CSQNN model can effectively deal with the quantum information of continuous variables.

Key words: quantum teleportation

References

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