Abstract: In many real-life applications, the existing data cannot be stored in a computer’s random access memory, requiring learning algorithms to process the data as streams. In some cases, limited ...

Abstract: This research focuses on the implementation of quantum machine learning with the classical models such as Gradient Boosting and K-means clustering for efficient classification and clustering ...