Quantum Machine Learning

88 papers for year 2018

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 88 arXiv preprints 71 Crossref 6 Europe PMC 9 DOAJ 2

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Showing 61-72 of 88

Quantum algorithms for feedforward neural networks

Jonathan Allcock, Chang-Yu Hsieh, Iordanis Kerenidis, Shengyu Zhang

2018 arXiv arXiv preprint

Quantum Artificial Life in an IBM Quantum Computer.

Alvarez-Rodriguez U, Sanz M, Lamata L, Solano E.

2018 Europe PMC Sci Rep

Quantum Circuit Design Methodology for Multiple Linear Regression

Sanchayan Dutta, Adrien Suau, Sagnik Dutta, Suvadeep Roy, Bikash K. Behera, Prasanta K. Panigrahi

2018 arXiv arXiv preprint

Quantum circuits of c -- Z and SWAP gates optimization and entanglement

Marc Bataille, Jean-Gabriel Luque

2018 arXiv arXiv preprint

Quantum computing and the brain: quantum nets, dessins d'enfants and neural networks

Torsten Asselmeyer-Maluga

2018 arXiv arXiv preprint

Quantum data compression by principal component analysis

Chao-Hua Yu, Fei Gao, Song Lin, Jingbo Wang

2018 arXiv arXiv preprint

Quantum Differential Cryptanalysis

Qing Zhou, Songfeng Lu, Zhigang Zhang, Jie Sun

2018 arXiv arXiv preprint

Quantum Log-Approximate-Rank Conjecture is also False

Anurag Anshu, Naresh Goud Boddu, Dave Touchette

2018 arXiv arXiv preprint

Quantum Reasoning using Lie Algebra for Everyday Life (and AI perhaps...)

Steven Gratton

2018 arXiv arXiv preprint

Quantum Statistical Inference

Zhikuan Zhao

2018 arXiv arXiv preprint

Quantum Structures in Human Decision-making: Towards Quantum Expected Utility

Sandro Sozzo

2018 arXiv arXiv preprint

Quantum Systems for Monte Carlo Methods and Applications to Fractional Stochastic Processes

Sebastian F. Tudor, Rupak Chatterjee, Lac Nguyen, Yuping Huang

2018 arXiv arXiv preprint

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