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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Showing 3649-3660 of 3,957

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

Quantum++: A modern C++ quantum computing library.

Gheorghiu V.

2018 Europe PMC PLoS One

QuCumber: wavefunction reconstruction with neural networks

Matthew J. S. Beach, Isaac De Vlugt, Anna Golubeva, Patrick Huembeli, Bohdan Kulchytskyy, Xiuzhe Luo, Roger G. Melko, Ejaaz Merali, Giacomo Torlai

2018 arXiv arXiv preprint

Reconstructing quantum states with generative models

Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita

2018 arXiv arXiv preprint

Reconstruction of joint photon-number distributions of twin beams incorporating spatial noise reduction

Jan Perina, Vaclav Michalek, Ondrej Haderka

2018 arXiv arXiv preprint

Relating the pure and ensemble density matrix functional

Christian Schilling

2018 arXiv arXiv preprint
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