Quantum Machine Learning
Quantum Machine Learning is a subfield of Artificial Intelligence and Data Science that combines the principles of quantum mechanics with classical machine learning algorithms to solve complex problems. It involves the use of quantum computers to perform computations that are not feasible on classical computers. Quantum Machine Learning algorithms are designed to take advantage of the unique properties of quantum systems, such as superposition and entanglement, to speed up the process of training and inference. These algorithms have the potential to revolutionize the field of machine learning by enabling the development of more powerful models that can handle large datasets and complex problems.
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