Quantum Machine Learning

Quantum Machine Learning (QML) is an interdisciplinary field that combines quantum computing and machine learning techniques. It leverages the principles of quantum mechanics to process and analyze data in ways that classical computers cannot efficiently achieve. QML algorithms can potentially solve complex problems faster than traditional machine learning methods by utilizing quantum bits (qubits) and quantum superposition. Common use cases include optimization problems, pattern recognition, and large-scale data analysis, making it a promising area for advancements in artificial intelligence and data science.