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… quantum machine learning becomes practical. In this paper, we present an overview of quantum
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… A number of recent academic contributions explore the idea of using the advantages of
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… Examples include, the use of Quantum Approximate … quantum eigen solvers [17], [18] .
For the purpose of classification, this paper looks at the hierarchy of quantum machine learning …

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… quantum machine learning. We present several new methods that combine classical machine
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possible solutions in quantum computing. Recent days quantum computing is implemented in …

… of Quantum Machine Learning (QML), a relatively novel discipline that brings together
concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI). …

… first experimental demonstration of machine learning on a photonic quantum computer. Our
… , a ubiquitous task in machine learning, can be naturally done with quantum computers, thus …

… machine learning is under pressure from lack of computing power and quantum computing
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