Using a Deep Quantum Neural Network to Enhance the Fidelity of Quantum Convolutional Codes

The fidelity of quantum states is an important concept in information. Improving very for both communication and computation. In this paper, we use a neural network (QNN) to enhance the [6, 2, 2] convolutional codes. Towards circuit codes, target state |0⟩ or |1⟩ turned into entangled states, which can defend against noise more effectively. As works better with low dimension, divide circuits two parts. Then apply each part circuit. results simulation show that performs well enhancing states. Through network, first enhanced from 95.2% 99.99%, second 93.88% 94.57%.