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Using a Deep Quantum Neural Network to Enhance the Fidelity of Quantum Convolutional Codes
2022
Applied Sciences
The fidelity of quantum states is an important concept in quantum information. Improving quantum fidelity is very important for both quantum communication and quantum computation. In this paper, we use a quantum neural network (QNN) to enhance the fidelity of [6,2,2] quantum convolutional codes. Towards the circuit of quantum convolutional codes, the target quantum state |0⟩ or |1⟩ is turned into entangled quantum states, which can defend against quantum noise more effectively. As the quantum
doi:10.3390/app12115662
fatcat:we3ezt6l6res5gatmpfc2zv67y