Abstract: Quantum Embeddings (QE) is an important component of Quantum Machine Learning (QML) algorithms to load classical data present in Euclidean space onto quantum Hilbert space, which are then ...
Abstract: This study proposes a hybrid framework for optimizing last-mile delivery routes that combines Genetic Algorithm (GA), Integer Programming (IP), and machine learning (ML)-based clustering and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results