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 3421-3432 of 3,957

Quantum versus Classical Generative Modelling in Finance

Brian Coyle, Maxwell Henderson, Justin Chan Jin Le, Niraj Kumar, Marco Paini, Elham Kashefi

2020 arXiv arXiv preprint

Quantum-accessible reinforcement learning beyond strictly epochal environments

A. Hamann, V. Dunjko, S. Wölk

2020 arXiv arXiv preprint

Quantum-enhanced algorithms for classical target detection in complex environments

Peter B. Weichman

2020 arXiv arXiv preprint

Quantum-Enhanced Machine Learning for Covid-19 and Anderson Insulator Predictions

Paul-Aymeric McRae, Michael Hilke

2020 arXiv arXiv preprint

Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra

Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, Honghao Lin, David P. Woodruff

2020 arXiv arXiv preprint

QuGAN: A Quantum State Fidelity based Generative Adversarial Network

Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu

2020 arXiv arXiv preprint

Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features

The Quingo Development Team

2020 arXiv arXiv preprint

Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation

Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth Behrman

2020 arXiv arXiv preprint

Rapid characterisation of linear-optical networks via PhaseLift

Daniel Suess, Nicola Maraviglia, Richard Kueng, Alexandre Maïnos, Chris Sparrow, Toshikazu Hashimoto, Nobuyuki Matsuda, David Gross, Anthony Laing

2020 arXiv arXiv preprint

Realizing a quantum generative adversarial network using a programmable superconducting processor

Kaixuan Huang, Zheng-An Wang, Chao Song, Kai Xu, Hekang Li, Zhen Wang, Qiujiang Guo, Zixuan Song, Zhi-Bo Liu, Dongning Zheng, Dong-Ling Deng, H. Wang, Jian-Guo Tian, Heng Fan

2020 arXiv arXiv preprint

Reinforcement Learning with Quantum Variational Circuits

Owen Lockwood, Mei Si

2020 arXiv arXiv preprint

Residual Matrix Product State for Machine Learning

Ye-Ming Meng, Jing Zhang, Peng Zhang, Chao Gao, Shi-Ju Ran

2020 arXiv arXiv preprint
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