In this section, we'll discuss how the Quantum machine learning models we use in this project are different from each other, how Quantum machine learning models differ from their conventional machine learning counterparts, and how we perform the comparison. The process comprises data preprocessing, parameter setting, algorithm execution, and bar graph plotting.
Learning objectives: after completing this module, students will be able to
(i) describe the difference between various Quantum machine learning models
(ii) describe the difference between Quantum machine learning models and their conventional machine learning counterparts
(iii) learn to preprocess various Datasets for different comparison processes