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Quantum machine learning

Quantum machine learning is a newly emerging interdisciplinary research area between quantum physics and computer science that summarises efforts to… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of intelligent networks with the… Expand
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2019
2019
Quantum machine learning is one of the most promising applications of a full-scale quantum computer. Over the past few years… Expand
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Highly Cited
2018
Highly Cited
2018
We propose a classical-quantum hybrid algorithm for machine learning on near-term quantum processors, which we call quantum… Expand
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Highly Cited
2018
Highly Cited
2018
Author(s): Huggins, W; Patil, P; Mitchell, B; Birgitta Whaley, K; Miles Stoudenmire, E | Abstract: © 2019 IOP Publishing Ltd… Expand
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2017
2017
Even the most sophisticated artificial neural networks are built by aggregating substantially identical units called neurons. A… Expand
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2017
2017
The promise of quantum neural nets, which utilize quantum effects to model complex data sets, has made their development an… Expand
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2017
2017
Given sufficient examples, recently introduced machine learning models enable rapid, yet accurate, predictions of properties of… Expand
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Review
2016
Review
2016
Machine learning techniques are applied for solving a large variety of practical problems. The tasks attacked by machine learning… Expand
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Highly Cited
2014
Highly Cited
2014
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine… Expand
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Highly Cited
2013
Highly Cited
2013
Machine-learning tasks frequently involve problems of manipulating and classifying large numbers of vectors in high-dimensional… Expand
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