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 3637-3648 of 3,957

Practical and unconditionally secure spacetime-constrained oblivious transfer

Damián Pitalúa-García, Iordanis Kerenidis

2018 arXiv arXiv preprint

Projective quantum Monte Carlo simulations guided by unrestricted neural network states

E. M. Inack, G. E. Santoro, L. Dell'Anna, S. Pilati

2018 Crossref Physical Review B

q-means: A quantum algorithm for unsupervised machine learning

Iordanis Kerenidis, Jonas Landman, Alessandro Luongo, Anupam Prakash

2018 arXiv arXiv preprint

QDB: From Quantum Algorithms Towards Correct Quantum Programs

Yipeng Huang, Margaret Martonosi

2018 arXiv arXiv preprint

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

Justyna P. Zwolak, Sandesh S. Kalantre, Xingyao Wu, Stephen Ragole, Jacob M. Taylor

2018 arXiv arXiv preprint

Quantum Advantage for the LOCAL Model in Distributed Computing

François Le Gall, Harumichi Nishimura, Ansis Rosmanis

2018 arXiv arXiv preprint

Quantum algorithm and quantum circuit for A-Optimal Projection: dimensionality reduction

Bojia Duan, Jiabin Yuan, Juan Xu, Dan Li

2018 arXiv arXiv preprint

Quantum algorithms for feedforward neural networks

Jonathan Allcock, Chang-Yu Hsieh, Iordanis Kerenidis, Shengyu Zhang

2018 arXiv arXiv preprint

Quantum Artificial Life in an IBM Quantum Computer.

Alvarez-Rodriguez U, Sanz M, Lamata L, Solano E.

2018 Europe PMC Sci Rep

Quantum Circuit Design Methodology for Multiple Linear Regression

Sanchayan Dutta, Adrien Suau, Sagnik Dutta, Suvadeep Roy, Bikash K. Behera, Prasanta K. Panigrahi

2018 arXiv arXiv preprint

Quantum circuits of c -- Z and SWAP gates optimization and entanglement

Marc Bataille, Jean-Gabriel Luque

2018 arXiv arXiv preprint

Quantum computing and the brain: quantum nets, dessins d'enfants and neural networks

Torsten Asselmeyer-Maluga

2018 arXiv arXiv preprint
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