Quantum machine learning: Transforming cloud-based AI solutions

Abstract

This study examines the feasibility of placing quantum computing technology into cloud ML systems to make QML far faster and more scalable. Quantum computers tackle standard ML performance challenges through their special traits, including superposition and entanglement. Implementing QML on cloud-based platforms unlocks the specific advantages of scalability and accessibility while providing the required flexibility. Cloud-based systems can better predict results with faster performance when they use quantum algorithms to process machine learning tasks. This research examines how QML connects to cloud computing technology while showing how these industries can use it to handle limited processing power and improve overall system performance.