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Papers matching “quantum machine learning” in Quantum Computing Algorithms and Architecture 137

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Machine learning with minimal use of quantum computers: Provable advantages in Learning Under Quantum Privileged Information (LUQPI)
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Lisa Kohl, Sebastian Schmitt, Vedran Dunjko

0

citations
On establishing learning separations between classical and quantum machine learning with classical data
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Casper Gyurik, Vedran Dunjko

9

citations
Smooth input preparation for quantum and quantum-inspired machine learning
2021 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access

Zhikuan Zhao, Jack Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons

10

citations
High Dimensional Quantum Machine Learning With Small Quantum Computers
2023 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

Simon C. Marshall, Casper Gyurik, Vedran Dunjko

36

citations
Limitations of measure-first protocols in quantum machine learning
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Casper Gyurik, Riccardo Molteni, Vedran Dunjko

0

citations
Quantum machine learning beyond kernel methods
2023 Nature Communications article Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko

228

citations
Shadows of quantum machine learning
2024 Nature Communications article Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko

68

citations
Symmetry-invariant quantum machine learning force fields
2025 New Journal of Physics article Computer Science Quantum Computing Algorithms and Architecture Open access

Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

10

citations
Symmetry-invariant quantum machine learning force fields
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

4

citations
QUANTUM MACHINE LEARNING FOR HEP DETECTOR SIMULATIONS
2021 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access

Florian Rehm, Sofia Vallecorsa, K. Borras, Dirk Krücker

6

citations
Self-adaptive physics-informed quantum machine learning for solving differential equations
2024 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Rasul Abdusalamov, Felix Motzoi

11

citations
The role of data-induced randomness in quantum machine learning classification tasks
2026 npj Quantum Information article Computer Science Quantum Computing Algorithms and Architecture Open access

Berta Casas, Xavier Bonet-Monroig, Adrián Pérez-Salinas

0

citations
Resource frugal optimizer for quantum machine learning
2023 Quantum Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Charles Moussa, Max Hunter Gordon, Michał Bączyk, Marco Cerezo, Łukasz Cincio, Patrick J. Coles

9

citations
Quantifying the effect of quantum operations in machine learning by comparison to classically simulable variants
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Quantum Computing Algorithms and Architecture Open access

Víctor Mauricio Gutiérrez Luque

0

citations
Quantum machine learning advantages beyond hardness of evaluation
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Riccardo Molteni, Simon C. Marshall, Vedran Dunjko

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip

0

citations
A non-review of Quantum Machine Learning: trends and explorations
2020 article Computer Science Quantum Computing Algorithms and Architecture Open access

Vedran Dunjko, Péter Wittek

81

citations
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti

0

citations
Shadows of quantum machine learning
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko

0

citations
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
2022 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

Andrea Skolik, Sofiène Jerbi, Vedran Dunjko

193

citations
Machine learning with classical data
2025 Cambridge University Press eBooks book-chapter Computer Science Quantum Computing Algorithms and Architecture Open access

Sam McArdle, Connor T. Hann, Aleksander Kubica, Fernando G. S. L. Brandão

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Müller

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Müller

0

citations
Exponential quantum advantages in learning quantum observables from classical data
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Riccardo Molteni, Casper Gyurik, Vedran Dunjko

1

citations