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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Time-dependent atomic magnetometry with a recurrent neural network

Maryam Khanahmadi, Klaus Mølmer

2020 arXiv arXiv preprint

Toward a Holistic Understanding of the Formation and Growth of Atmospheric Molecular Clusters: A Quantum Machine Learning Perspective

Jonas Elm

2020 Crossref The Journal of Physical Chemistry A

Toward Trainability of Quantum Neural Networks

Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao

2020 arXiv arXiv preprint

Towards Building A Facial Identification System Using Quantum Machine Learning Techniques

Philip Easom-McCaldin, Ahmed Bouridane, Ammar Belatreche, Richard Jiang

2020 arXiv arXiv preprint

Towards the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space

Stefan Heinen, Guido Falk von Rudorff, O. Anatole von Lilienfeld

2020 arXiv arXiv preprint

Training a quantum annealing based restricted Boltzmann machine on cybersecurity data

Vivek Dixit, Raja Selvarajan, Tamer Aldwairi, Yaroslav Koshka, Mark A. Novotny, Travis S. Humble, Muhammad A. Alam, Sabre Kais

2020 arXiv arXiv preprint

U(1) symmetric recurrent neural networks for quantum state reconstruction

Stewart Morawetz, Isaac J. S. De Vlugt, Juan Carrasquilla, Roger G. Melko

2020 arXiv arXiv preprint

Ultimate Limits of Thermal Pattern Recognition

Cillian Harney, Leonardo Banchi, Stefano Pirandola

2020 arXiv arXiv preprint

Unboxing Quantum Black Box Models: Learning Non-Markovian Dynamics

Stefan Krastanov, Kade Head-Marsden, Sisi Zhou, Steven T. Flammia, Liang Jiang, Prineha Narang

2020 arXiv arXiv preprint

Unifying Aspects of Generalized Calculus

Marek Czachor

2020 arXiv arXiv preprint

Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces

Takahiro Goto, Quoc Hoan Tran, Kohei Nakajima

2020 arXiv arXiv preprint

Universal non-Markovianity detection in hybrid open quantum systems.

Svozilík J, Hidalgo-Sacoto R, Arkhipov II.

2020 Europe PMC Sci Rep

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