Quantum Machine Learning

237 papers for year 2020

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.

Source: All sources

All sources 237 arXiv preprints 196 Crossref 22 Europe PMC 12 DOAJ 7

Clear

Showing 169-180 of 237

Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices

Keisuke Fujii, Kohei Nakajima

2020 arXiv arXiv preprint

Quantum Secret Sharing and Tripartite Information

Marius Junge, Chloe Kim, Guangkuo Liu, Peixue Wu

2020 arXiv arXiv preprint

Quantum semi-supervised generative adversarial network for enhanced data classification

Kouhei Nakaji, Naoki Yamamoto

2020 arXiv arXiv preprint

Quantum Software EngineeringSupremacy in Intelligent Robotics

V. V. Korenkov, A. G. Reshetnikov, S.V. Ulyanov

2020 Crossref System Analysis in Science and Education

Quantum speedup in adaptive boosting of binary classification

XiMing Wang, YueChi Ma, Min-Hsiu Hsieh, Man-Hong Yung

2020 Crossref Science China Physics, Mechanics & Astronomy

Quantum State Tomography with Conditional Generative Adversarial Networks

Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori, Anton Frisk Kockum

2020 arXiv arXiv preprint

Quantum Strategic Organizational Design: Alignment in Industry 4.0 Complex-Networked Cyber-Physical Lean Management Systems.

Villalba-Diez J, Zheng X.

2020 Europe PMC Sensors (Basel)

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

← Previous

1 ... 13 14 15 16 17 ... 20