This article discusses the development of an ensemble deep learning-based quantum machine learning classification model for the diagnosis of Alzheimer’s disease (AD). The proposed method uses a combination of MRI brain images and an efficient classification algorithm to accurately classify different stages of AD. The performance of the model is compared to other methods and shows promising results.
