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Comparing Performance Between Quantum and Classical Machine Learning

By IQT News posted 08 Feb 2019

(HPCWire) A team from Southern Methodist University and KPMG recently presented a performance comparison of machine learning algorithms run on quantum and classical computing systems, with the aim of exploring the potential benefits of applying quantum computing to machine learning. The authors–Christopher L. Havenstein, Damarcus T. Thomas and Swami Chandrasekaran– concluded that in some cases, the quantum computers achieved higher accuracy than their classical counterparts.
NOTE: This summary is one of a series of a bimonthly feature in which HPCwire highlights newly published research in the high-performance computing community and related domains.

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