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Quantum machine learning (QML) is an emerging field that merges quantum computing and artificial intelligence (AI) to solve complex problems more efficiently than classical approaches. This article explores the evolution, working principles, and the significant ways QML is bridging the gap between quantum computing and AI.
QML combines quantum computing principles with classical ML techniques, utilizing quantum data encoding, quantum operations and algorithms, quantum measurement, and hybrid quantum-classical models. Companies involved in this field include IBM, Google, and Microsoft.
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