Optimisation-free Classification and Density Estimation with Quantum Circuits
Vladimir Vargas-Calderón,
Fabio A. González,
Herbert Vinck-Posada
Abstract:We demonstrate the implementation of a novel machine learning framework for probability density estimation and classification and probability density estimation using quantum circuits. The framework maps a training data set or a single data sample to the quantum state of a physical system through quantum feature maps. The quantum state of the arbitrarily large training data set summarises its probability distribution in a finite-dimensional quantum wave function. By projecting the quantum state of a new data s… Show more
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