Quantum Machine Learning

237 papers for year 2020

Quantum Machine Learning Research Context

This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.

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All sources 237 arXiv preprints 196 Crossref 22 Europe PMC 12 DOAJ 7

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Showing 49-60 of 237

Detecting non-local effects in the electronic structure of a simple covalent system with machine learning methods

Behnam Parsaeifard, Jonas A. Finkler, Stefan Goedecker

2020 arXiv arXiv preprint

Detecting outliers in segmented genomes of flu virus using an alignment-free approach

Mosaab Daoud

2020 DOAJ Genomics & Informatics

Diagrammatic Design and Study of Ansätze for Quantum Machine Learning

Richie Yeung

2020 arXiv arXiv preprint

Discovering hidden layers in quantum graphs

Łukasz G. Gajewski, Julian Sienkiewicz, Janusz A. Hołyst

2020 arXiv arXiv preprint

Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features

Joseph J. Foy, Mena Shenouda, Sahar Ramahi, Samuel Armato, Daniel Thomas Ginat

2020 Crossref Journal of Medical Imaging

Effect of barren plateaus on gradient-free optimization

Andrew Arrasmith, M. Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles

2020 arXiv arXiv preprint

Efficient calculation of gradients in classical simulations of variational quantum algorithms

Tyson Jones, Julien Gacon

2020 arXiv arXiv preprint

Emergent Quantumness in Neural Networks

Mikhail I. Katsnelson, Vitaly Vanchurin

2020 arXiv arXiv preprint

Energetic Considerations in Quantum Target Ranging

Athena Karsa, Stefano Pirandola

2020 arXiv arXiv preprint

Engineering Topological Phases Guided by Statistical and Machine Learning Methods

Thomas Mertz, Roser Valentí

2020 arXiv arXiv preprint

Entanglement and Tensor Networks for Supervised Image Classification

John Martyn, Guifre Vidal, Chase Roberts, Stefan Leichenauer

2020 arXiv arXiv preprint

Entanglement Devised Barren Plateau Mitigation

Taylor L. Patti, Khadijeh Najafi, Xun Gao, Susanne F. Yelin

2020 arXiv arXiv preprint

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