Quantum Machine Learning

4,009 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 3301-3312 of 4,009

A Hybrid Framework Using a QUBO Solver For Permutation-Based Combinatorial Optimization

Siong Thye Goh, Sabrish Gopalakrishnan, Jianyuan Bo, Hoong Chuin Lau

2020 arXiv arXiv preprint

A new state of matter of quantum droplets

Mingyang Guo, Tilman Pfau

2020 Crossref Frontiers of Physics

A non-algorithmic approach to "programming" quantum computers via machine learning

Nathan Thompson, James Steck, Elizabeth Behrman

2020 arXiv arXiv preprint

A P4 Data Plane for the Quantum Internet

Wojciech Kozlowski, Fernando Kuipers, Stephanie Wehner

2020 arXiv arXiv preprint

A Quantum Graph Neural Network Approach to Particle Track Reconstruction

Cenk Tüysüz, Federico Carminati, Bilge Demirköz, Daniel Dobos, Fabio Fracas, Kristiane Novotny, Karolos Potamianos, Sofia Vallecorsa, Jean-Roch Vlimant

2020 arXiv arXiv preprint

A Query-Efficient Quantum Algorithm for Maximum Matching on General Graphs

Shelby Kimmel, R. Teal Witter

2020 arXiv arXiv preprint

A rigorous and robust quantum speed-up in supervised machine learning

Yunchao Liu, Srinivasan Arunachalam, Kristan Temme

2020 arXiv arXiv preprint

A Tutorial Introduction to Quantum Circuit Programming in Dependently Typed Proto-Quipper

Fu P, Kishida K, Ross N, Selinger P.

2020 Europe PMC Reversible Computation12th International Conference, RC 2020, Oslo, Norway, July 9-10, 2020, Proceedings

A Tutorial on Quantum Convolutional Neural Networks (QCNN)

Seunghyeok Oh, Jaeho Choi, Joongheon Kim

2020 arXiv arXiv preprint

A Unified Framework for Quantum Supervised Learning

Nhat A. Nghiem, Samuel Yen-Chi Chen, Tzu-Chieh Wei

2020 arXiv arXiv preprint

Accurate phonon blockade detector composed of a quadratically coupled optomechanical system

Ye-Xiong Zeng, Tesfay Gebremariam, Jian Shen, Biao Xiong, Chong Li

2020 arXiv arXiv preprint

Achieving a quantum smart workforce

Clarice D. Aiello, D. D. Awschalom, Hannes Bernien, Tina Brower-Thomas, Kenneth R. Brown, Todd A. Brun, Justin R. Caram, Eric Chitambar, Rosa Di Felice, Michael F. J. Fox, Stephan Haas, Alexander W. Holleitner, Eric R. Hudson, Jeffrey H. Hunt, Robert Joynt, Scott Koziol, H. J. Lewandowski, Douglas T. McClure, Jens Palsberg, Gina Passante, Kristen L. Pudenz, Christopher J. K. Richardson, Jessica L. Rosenberg, R. S. Ross, Mark Saffman, M. Singh, David W. Steuerman, Chad Stark, Jos Thijssen, A. Nick Vamivakas, James D. Whitfield, Benjamin M. Zwickl

2020 arXiv arXiv preprint
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