QUANTUM ERROR CORRECTION DECODING METHOD AND APPARATUS BASED ON NEURAL NETWORK, AND CHIP

摘要

This application discloses a neural network-based QEC decoding method and apparatus, and a chip, and relates to the field of artificial intelligence and quantum technologies. The method includes: obtaining error syndrome information of a quantum circuit; performing block feature extraction on the error syndrome information by using a neural network decoder, to obtain feature information; and performing fusion decoding processing on the feature information by using the neural network decoder, to obtain error result information, the error result information being used for determining a data qubit in which an error occurs in the quantum circuit and a corresponding error type. In this application, a block feature extraction manner is used, a quantity of channels of feature information obtained by each feature extraction is reduced, and inputted data of next feature extraction is reduced, which helps reduce a quantity of feature extraction layers in a neural network decoder, thereby shortening the depth of the neural network decoder. Therefore, a decoding time used by the neural network decoder is correspondingly reduced, thereby meeting the requirements of real-time error correction.