Quantum t-SNE is a quantum-enhanced version of the popular t-distributed stochastic neighbor embedding (t-SNE) algorithm, which is used for visualizing high-dimensional data in a lower-dimensional space. By leveraging the principles of quantum computing, quantum t-SNE aims to achieve faster computation and improved performance when handling complex datasets, making it a powerful tool in the field of quantum dimensionality reduction.
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