Quantum Machine Learning

Quantum machine learning (QML) blends quantum computing's power with machine learning's potential. It explores algorithms leveraging quantum phenomena like superposition and entanglement to surpass classical machine learning limitations. This field focuses on developing novel quantum algorithms for tasks like classification, regression, and optimization, pushing the boundaries of speed and efficiency in data analysis and pattern recognition. Research in QML is rapidly evolving, investigating various quantum computing architectures and their applications to complex machine learning problems.