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 3433-3444 of 3,957

Resource prioritization and balancing for the quantum internet

Laszlo Gyongyosi, Sandor Imre

2020 Crossref Scientific Reports

Reverse Annealing for Nonnegative/Binary Matrix Factorization

John Golden, Daniel O'Malley

2020 arXiv arXiv preprint

Robust calibration of multiparameter sensors via machine learning at the single-photon level

Valeria Cimini, Emanuele Polino, Mauro Valeri, Ilaria Gianani, Nicolò Spagnolo, Giacomo Corrielli, Andrea Crespi, Roberto Osellame, Marco Barbieri, Fabio Sciarrino

2020 arXiv arXiv preprint

Robust in Practice: Adversarial Attacks on Quantum Machine Learning

Haoran Liao, Ian Convy, William J. Huggins, K. Birgitta Whaley

2020 arXiv arXiv preprint

Robustness Verification of Quantum Classifiers

Ji Guan, Wang Fang, Mingsheng Ying

2020 arXiv arXiv preprint

Sample optimal Quantum identity testing via Pauli Measurements

Nengkun Yu

2020 arXiv arXiv preprint

Scientific intuition inspired by machine learning generated hypotheses

Pascal Friederich, Mario Krenn, Isaac Tamblyn, Alan Aspuru-Guzik

2020 arXiv arXiv preprint

Scrambling Ability of Quantum Neural Networks Architectures

Yadong Wu, Pengfei Zhang, Hui Zhai

2020 arXiv arXiv preprint

Sensitive magnetometry in challenging environments

Kai-Mei C. Fu, Geoffrey Z. Iwata, Arne Wickenbrock, Dmitry Budker

2020 arXiv arXiv preprint

Simultaneous Quantum Machine Learning Training and Architecture Discovery

Dominic Pasquali

2020 arXiv arXiv preprint

Single-Photon Image Classification

Thomas Fischbacher, Luciano Sbaiz

2020 arXiv arXiv preprint

Single-Pixel Pattern Recognition with Coherent Nonlinear Optics

Ting Bu, Santosh Kumar, He Zhang, Irwin Huang, Yuping Huang

2020 arXiv arXiv preprint
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