noisy quantum circuit classification (quantum ML, error mitigation)

Classifying noisy quantum circuits refers to the task of using quantum machine learning methods to categorize quantum circuits on noisy quantum devices. This task aims to enhance the reliability and accuracy of quantum computing in practical environments by applying error mitigation techniques, thereby promoting the application value of quantum computing in solving complex problems.