Quantum Machine Learning

88 papers for year 2018

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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All sources 88 arXiv preprints 71 Crossref 6 Europe PMC 9 DOAJ 2
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Showing 73-84 of 88

Quantum++: A modern C++ quantum computing library.

Gheorghiu V.

2018 Europe PMC PLoS One

QuCumber: wavefunction reconstruction with neural networks

Matthew J. S. Beach, Isaac De Vlugt, Anna Golubeva, Patrick Huembeli, Bohdan Kulchytskyy, Xiuzhe Luo, Roger G. Melko, Ejaaz Merali, Giacomo Torlai

2018 arXiv arXiv preprint

Reconstructing quantum states with generative models

Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita

2018 arXiv arXiv preprint

Reconstruction of joint photon-number distributions of twin beams incorporating spatial noise reduction

Jan Perina, Vaclav Michalek, Ondrej Haderka

2018 arXiv arXiv preprint

Relating the pure and ensemble density matrix functional

Christian Schilling

2018 arXiv arXiv preprint

Simulation complexity of open quantum dynamics: Connection with tensor networks

I. A. Luchnikov, S. V. Vintskevich, H. Ouerdane, S. N. Filippov

2018 arXiv arXiv preprint

Solving SAT and MaxSAT with a Quantum Annealer: Foundations, Encodings, and Preliminary Results

Zhengbing Bian, Fabian Chudak, William Macready, Aidan Roy, Roberto Sebastiani, Stefano Varotti

2018 arXiv arXiv preprint

Spin-qubit noise spectroscopy from randomized benchmarking by supervised learning

Chengxian Zhang, Xin Wang

2018 arXiv arXiv preprint

The Expressive Power of Parameterized Quantum Circuits

Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao

2018 arXiv arXiv preprint

THE IMPLEMENTATION OF QUANTUM LEARNING MODEL USING SOCIAL-SPIRITUAL VALUE THROUGH LESSON STUDY TO IMPROVE SOCIAL-SPIRITUAL ATTITUDES AND LEARNING RESULTS OF SCIENCE II BASIC CONCEPT

I Gede Astawan, Dewa Nyoman Sudana

2018 Crossref Journal of Psychology and Instructions

Topographic Representation for Quantum Machine Learning

Bruce MacLennan

2018 arXiv arXiv preprint

Training of Quantum Circuits on a Hybrid Quantum Computer

D. Zhu, N. M. Linke, M. Benedetti, K. A. Landsman, N. H. Nguyen, C. H. Alderete, A. Perdomo-Ortiz, N. Korda, A. Garfoot, C. Brecque, L. Egan, O. Perdomo, C. Monroe

2018 arXiv arXiv preprint
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