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 3589-3600 of 3,957

A note on the quantum query complexity of permutation symmetric functions

André Chailloux

2018 arXiv arXiv preprint

A quantum homomorphic encryption scheme for polynomial-sized circuits

Li Yu

2018 arXiv arXiv preprint

A Tutorial on Formulating and Using QUBO Models

Fred Glover, Gary Kochenberger, Yu Du

2018 arXiv arXiv preprint

A two-qubit molecular architecture for electron-mediated nuclear quantum simulation.

Atzori M, Chiesa A, Morra E, Chiesa M, Sorace L, Carretta S, Sessoli R.

2018 Europe PMC Chem Sci

Adaptive Operator Quantum-Behaved Pigeon-Inspired Optimization Algorithm with Application to UAV Path Planning

Chunhe Hu, Yu Xia, Junguo Zhang

2018 Crossref Algorithms

Adaptive Quantum State Tomography with Neural Networks

Yihui Quek, Stanislav Fort, Hui Khoon Ng

2018 arXiv arXiv preprint

Advances in Quantum Reinforcement Learning

Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel

2018 arXiv arXiv preprint

An Amalgamation of Classical and Quantum Machine Learning For the Classification of Adenocarcinoma and Squamous Cell Carcinoma Patients

Siddhant Jain, Jalal Ziauddin, Paul Leonchyk, Joseph Geraci

2018 arXiv arXiv preprint

An Artificial Neuron Implemented on an Actual Quantum Processor

Francesco Tacchino, Chiara Macchiavello, Dario Gerace, Daniele Bajoni

2018 arXiv arXiv preprint

Approximate optimization, sampling and spin-glass droplets discovery with tensor networks

Marek M. Rams, Masoud Mohseni, Daniel Eppens, Konrad Jałowiecki, Bartłomiej Gardas

2018 arXiv arXiv preprint

Black-Hole evaporation from the perspective of neural networks

Ivan Arraut

2018 arXiv arXiv preprint

Compact embedded device for lock-in measurements and experiment active control

Marcelo Alejandro Luda, Martin Drechsler, Christian Tomás Schmiegelow, Jorge Codnia

2018 arXiv arXiv preprint
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