Quantum Machine Learning
Quantum neural networks (QNNs) are a type of quantum computing architecture that combines principles of quantum mechanics with artificial neural networks, allowing for the processing and analysis of data in ways that classical neural networks cannot achieve. By utilizing quantum bits (qubits) and the unique properties of superposition and entanglement, QNNs have the potential to perform complex computations more efficiently and handle high-dimensional data better than their classical counterparts.
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