Quantum Machine Learning

256 papers for year 2021

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All sources 256 arXiv preprints 208 Crossref 29 Europe PMC 14 DOAJ 5

Showing 49-60 of 256

Development and Training of Quantum Neural Networks, Based on the Principles of Grover's Algorithm

Cesar Borisovich Pronin, Andrey Vladimirovich Ostroukh

2021 arXiv arXiv preprint

Differentiable quantum computational chemistry with PennyLane

Juan Miguel Arrazola, Soran Jahangiri, Alain Delgado, Jack Ceroni, Josh Izaac, Antal Száva, Utkarsh Azad, Robert A. Lang, Zeyue Niu, Olivia Di Matteo, Romain Moyard, Jay Soni, Maria Schuld, Rodrigo A. Vargas-Hernández, Teresa Tamayo-Mendoza, Cedric Yen-Yu Lin, Alán Aspuru-Guzik, Nathan Killoran

2021 arXiv arXiv preprint

Discriminating Quantum States with Quantum Machine Learning

David Quiroga, Prasanna Date, Raphael C. Pooser

2021 arXiv arXiv preprint

Dispersive qubit readout with machine learning

Enrico Rinaldi, Roberto Di Candia, Simone Felicetti, Fabrizio Minganti

2021 arXiv arXiv preprint

DMRjulia: Tensor recipes for entanglement renormalization computations

Thomas E. Baker, Martin P. Thompson

2021 arXiv arXiv preprint

Einstein-Podolsky-Rosen steering based on semi-supervised machine learning

Lifeng Zhang, Zhihua Chen, Shao-Ming Fei

2021 arXiv arXiv preprint

Enabling Retargetable Optimizing Compilers for Quantum Accelerators via a Multi-Level Intermediate Representation

Thien Nguyen, Alexander McCaskey

2021 arXiv arXiv preprint

Enhancing the performance of an open quantum battery via environment engineering

Kai Xu, Han-Jie Zhu, Guo-Feng Zhang, Wu-Ming Liu

2021 Crossref Physical Review E

Entangled Datasets for Quantum Machine Learning

Louis Schatzki, Andrew Arrasmith, Patrick J. Coles, M. Cerezo

2021 arXiv arXiv preprint

EQC : Ensembled Quantum Computing for Variational Quantum Algorithms

Samuel Stein, Yufei Ding, Nathan Wiebe, Bo Peng, Karol Kowalski, Nathan Baker, James Ang, Ang Li

2021 arXiv arXiv preprint

Equivariant Quantum Graph Circuits

Péter Mernyei, Konstantinos Meichanetzidis, İsmail İlkan Ceylan

2021 arXiv arXiv preprint

Error mitigation in variational quantum eigensolvers using tailored probabilistic machine learning

Tao Jiang, John Rogers, Marius S. Frank, Ove Christiansen, Yong-Xin Yao, Nicola Lanatà

2021 arXiv arXiv preprint
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