The article focuses on the application of quantum computing in the state evaluation and fault diagnosis of power transmission and distribution lines. Firstly

it introduces the basic concepts

algorithms

and differences between quantum computing and classical computing. At the same time

it elaborates on the operating principles

common fault types

state evaluation index system

and fault diagnosis methods of power transmission and distribution lines. Furthermore

a quantum computing based model for state evaluation and fault diagnosis of power transmission and distribution lines is constructed

including data acquisition and processing

model selection and design

training optimization

as well as fault feature extraction

quantum coding

and model performance evaluation and comparison. Research has shown that quantum computing can improve the efficiency and accuracy of state assessment and fault diagnosis of power transmission and distribution lines

providing a new path for intelligent operation and maintenance of power systems

and is of great significance for ensuring the stability of power supply.