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GenQu: A Hybrid Framework for Learning Classical Data in Quantum States
In this paper, we propose GenQu, a hybrid and general-purpose quantum framework for learning classical data through quantum states.
Quantum-Inspired Classical Algorithm for Principal Component Regression
In this work, we developed an algorithm for principal component regression that runs in time polylogarithmic to the number of data points, an exponential speed up over the state-of-the-art algorithm, under the mild assumption that the input is given in some data structure that supports a norm-based sampling procedure.
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