Quantum Machine Learning

3,957 papers

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 3957 arXiv preprints 2660 Crossref 606 OpenAlex 30 Europe PMC 290 PubMed 285 DOAJ 86

Showing 3541-3552 of 3,957

Probabilistic Simulation of Quantum Circuits with the Transformer

Juan Carrasquilla, Di Luo, Felipe Pérez, Ashley Milsted, Bryan K. Clark, Maksims Volkovs, Leandro Aolita

2019 arXiv arXiv preprint

QDNN: DNN with Quantum Neural Network Layers

Chen Zhao, Xiao-Shan Gao

2019 arXiv arXiv preprint

Quantum Adversarial Machine Learning

Sirui Lu, Lu-Ming Duan, Dong-Ling Deng

2019 arXiv arXiv preprint

Quantum Algorithms for Deep Convolutional Neural Networks

Iordanis Kerenidis, Jonas Landman, Anupam Prakash

2019 arXiv arXiv preprint

Quantum algorithms for the Goldreich-Levin learning problem

Hongwei Li

2019 arXiv arXiv preprint

Quantum approximate Bayesian computation for NMR model inference

Dries Sels, Hesam Dashti, Samia Mora, Olga Demler, Eugene Demler

2019 arXiv arXiv preprint

Quantum Circuit Parameters Learning with Gradient Descent Using Backpropagation

Masaya Watabe, Kodai Shiba, Masaru Sogabe, Katsuyoshi Sakamoto, Tomah Sogabe

2019 arXiv arXiv preprint

Quantum Computation with Machine-Learning-Controlled Quantum Stuff

Lucien Hardy, Adam G. M. Lewis

2019 arXiv arXiv preprint

Quantum Computing at the Frontiers of Biological Sciences

Prashant S. Emani, Jonathan Warrell, Alan Anticevic, Stefan Bekiranov, Michael Gandal, Michael J. McConnell, Guillermo Sapiro, Alán Aspuru-Guzik, Justin Baker, Matteo Bastiani, Patrick McClure, John Murray, Stamatios N Sotiropoulos, Jacob Taylor, Geetha Senthil, Thomas Lehner, Mark B. Gerstein, Aram W. Harrow

2019 arXiv arXiv preprint

Quantum enhancements for deep reinforcement learning in large spaces

Sofiene Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel, Vedran Dunjko

2019 arXiv arXiv preprint

Quantum many-body dynamics in two dimensions with artificial neural networks

Markus Schmitt, Markus Heyl

2019 arXiv arXiv preprint

Quantum methods in the development of new materials

E. Son, I. Abrikosov, A. Khvan, P. Levashov

2019 Crossref Physical Sciences and Technology
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