Quantum-inspired algorithm for direct multi-class classification

Giuntini, Roberto; Holik, Federico; Park, Daniel K.; Freytes, Hector; Blank, Carsten; Sergioli, Giuseppe

doi:10.1016/j.asoc.2022.109956

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Quantum-inspired algorithm for direct multi-class classification

Author(s): Roberto Giuntini , Federico Holik , Daniel K. Park , Hector Freytes , Carsten Blank , Giuseppe Sergioli

Publication date Created: February 2023

Publication date (Print): February 2023

Journal: Applied Soft Computing

Publisher: Elsevier BV

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Quantum detection and estimation theory

Carl Helstrom (1969)

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Quantum machine learning

Jacob Biamonte, Seth Lloyd, Nathan Wiebe … (2017)

Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, so it is reasonable to postulate that quantum computers may outperform