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 25-36 of 46

Overcoming experimental limitations in a nonlinear two-qubit gate through postselection

Julián Martínez-Rincón

2016 Crossref Quantum Information Processing

Parameter Setting for Quantum Annealers

Kristen L. Pudenz

2016 arXiv arXiv preprint

QInfer: Statistical inference software for quantum applications

Christopher Granade, Christopher Ferrie, Ian Hincks, Steven Casagrande, Thomas Alexander, Jonathan Gross, Michal Kononenko, Yuval Sanders

2016 arXiv arXiv preprint

Quantification of DNA Extracted from Formalin Fixed Paraffin-Embeded Tissue Comparison of Three Techniques: Effect on PCR Efficiency.

Kumar D, Panigrahi MK, Suryavanshi M, Mehta A, Saikia KK.

2016 Europe PMC J Clin Diagn Res

Quantum Enhanced Inference in Markov Logic Networks

Peter Wittek, Christian Gogolin

2016 arXiv arXiv preprint

Quantum Error Correction Protects Quantum Search Algorithms Against Decoherence.

Botsinis P, Babar Z, Alanis D, Chandra D, Nguyen H, Ng SX, Hanzo L.

2016 Europe PMC Sci Rep

Quantum gradient descent and Newton's method for constrained polynomial optimization

Patrick Rebentrost, Maria Schuld, Leonard Wossnig, Francesco Petruccione, Seth Lloyd

2016 arXiv arXiv preprint

Quantum Laplacian Eigenmap

Yiming Huang, Xiaoyu Li

2016 arXiv arXiv preprint

Quantum Learning with Noise and Decoherence: A Robust Quantum Neural Network

Nam H. Nguyen, Elizabeth C. Behrman, James E. Steck

2016 arXiv arXiv preprint