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Abstract: Quantum classification is defined as the task of predicting the associatedclass of an unknown quantum state drawn from an ensemble of pure states given afinite number of copies of this state. By recasting the state discriminationproblem within the framework of Machine Learning ML, we can use the notion oflearning reduction coming from classical ML to solve different variants of theclassification task, such as the weighted binary and the multiclass versions.

Autor: Sébastien Gambs

Fuente: https://arxiv.org/

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