Quantum algorithm for support matrix machines
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DOI: 10.1103/physreva.96.032301
Abstract: We propose a quantum algorithm for support matrix machines (SMMs) that efficiently addresses an image classification problem by introducing a least-squares reformulation. This algorithm consists of two core subroutines: a quantum matrix inversion (Harrow-Hassidim-Lloyd, HHL)… read more here.
Keywords: algorithm support; support matrix; quantum algorithm; matrix machines ... See more keywords