Quantum machine learning
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Publication:2184839
DOI10.1515/9783110670707zbMATH Open1434.68018arXiv1611.09347OpenAlexW4213389681MaRDI QIDQ2184839
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Publication date: 29 May 2020
Published in: De Gruyter Frontiers in Computational Intelligence (Search for Journal in Brave)
Abstract: Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Since quantum systems produce counter-intuitive patterns believed not to be efficiently produced by classical systems, it is reasonable to postulate that quantum computers may outperform classical computers on machine learning tasks. The field of quantum machine learning explores how to devise and implement concrete quantum software that offers such advantages. Recent work has made clear that the hardware and software challenges are still considerable but has also opened paths towards solutions.
Full work available at URL: https://arxiv.org/abs/1611.09347
Learning and adaptive systems in artificial intelligence (68T05) Collections of articles of miscellaneous specific interest (00B15) Proceedings, conferences, collections, etc. pertaining to computer science (68-06) Quantum algorithms and complexity in the theory of computing (68Q12)
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