Quantum Machine Learning

46 papers for year 2016

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 46 arXiv preprints 30 Crossref 5 Europe PMC 10 DOAJ 1
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Showing 37-46 of 46

Quantum-enhanced machine learning

Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel

2016 arXiv arXiv preprint

Qudi: a modular python suite for experiment control and data processing

Jan M Binder, Alexander Stark, Nikolas Tomek, Jochen Scheuer, Florian Frank, Kay D Jahnke, Christoph Müller, Simon Schmitt, Mathias H Metsch, Thomas Unden, Tobias Gehring, Alexander Huck, Ulrik L Andersen, Lachlan J Rogers, Fedor Jelezko

2016 arXiv arXiv preprint

Random access codes and non-local resources

Anubhav Chaturvedi, Marcin Pawlowski, Karol Horodecki

2016 arXiv arXiv preprint

Semiconductor-inspired design principles for superconducting quantum computing.

Shim YP, Tahan C.

2016 Europe PMC Nat Commun

Speedup of quantum evolution of multiqubit entanglement states.

Zhang YJ, Han W, Xia YJ, Tian JX, Fan H.

2016 Europe PMC Sci Rep

Student Understanding of Period in Introductory and Quantum Physics Courses

Tong Wan, Paul J. Emigh, Gina Passante, Peter S. Shaffer

2016 Crossref Physics Education Research Conference Proceedings

Supervised Quantum Learning without Measurements

Unai Alvarez-Rodriguez, Lucas Lamata, Pablo Escandell-Montero, José D. Martín-Guerrero, Enrique Solano

2016 arXiv arXiv preprint

The Universal Composable Security of Quantum Message Authentication with Key Recyling

Patrick Hayden, Debbie W. Leung, Dominic Mayers

2016 arXiv arXiv preprint

Tomography and Generative Data Modeling via Quantum Boltzmann Training

Maria Kieferova, Nathan Wiebe

2016 arXiv arXiv preprint

Uncertainty decomposition of quantum networks in SLH framework

Peyman Azodi, Alireza Khayatian, Peyman Setoodeh, Mohammad Hassan Asemani

2016 arXiv arXiv preprint
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