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

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Showing 157-168 of 237

Quantum k-means algorithm based on Trusted server in Quantum Cloud Computing

Changqing Gong, Zhaoyang Dong, Abdullah Gani, Han Qi

2020 arXiv arXiv preprint

Quantum K-medians Algorithm Using Parallel Euclidean Distance Estimator

Amanuel Tamirat Getachew

2020 arXiv arXiv preprint

Quantum Key Recovery Attack on SIMON Block Cipher

Hui Liu, Li Yang

2020 arXiv arXiv preprint

Quantum Long Short-Term Memory

Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang

2020 arXiv arXiv preprint

Quantum Machine Learning and its Supremacy in High Energy Physics

Kapil K. Sharma

2020 arXiv arXiv preprint

Quantum Machine Learning for Particle Physics using a Variational Quantum Classifier

Andrew Blance, Michael Spannowsky

2020 arXiv arXiv preprint

Quantum machine learning: Transforming cloud-based AI solutions

Bangar Raju Cherukuri

2020 Crossref International Journal of Science and Research Archive

Quantum Multiple Kernel Learning

Seyed Shakib Vedaie, Moslem Noori, Jaspreet S. Oberoi, Barry C. Sanders, Ehsan Zahedinejad

2020 arXiv arXiv preprint

Quantum One-class Classification With a Distance-based Classifier

Nicolas M. de Oliveira, Lucas P. de Albuquerque, Wilson R. de Oliveira, Teresa B. Ludermir, Adenilton J. da Silva

2020 arXiv arXiv preprint

Quantum physics in secondary school -- milq

Rainer Müller, Oxana Mishina

2020 arXiv arXiv preprint

Quantum Radar: A Brief Analytical Study

Hasan Abbas Al-Moahmmed

2020 Crossref 2020 16th International Computer Engineering Conference (ICENCO)

Quantum Request-Answer Game with Buffer Model for Online Algorithms

Kamil Khadiev

2020 arXiv arXiv preprint

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