Quantum machine learning is a subset of machine learning that uses quantum computing to improve the speed and efficiency of data analysis and decision-making processes.
It leverages the unique properties of quantum systems, such as entanglement and superposition, to perform complex calculations that are beyond the capabilities of classical computers.
This can enable faster and more accurate predictions, classifications, and recommendations in areas such as finance, healthcare, and cybersecurity.
