Quantum Machine Learning

4,297 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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All sources 4297 arXiv preprints 2828 Crossref 713 OpenAlex 30 Europe PMC 290 PubMed 348 DOAJ 88

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Showing 2737-2748 of 4,297

Challenges for Reinforcement Learning in Quantum Circuit Design

Philipp Altmann, Jonas Stein, Michael Kölle, Adelina Bärligea, Thomas Gabor, Thomy Phan, Sebastian Feld, Claudia Linnhoff-Popien

2023 arXiv arXiv preprint

Charged particle reconstruction for future high energy colliders with Quantum Approximate Optimization Algorithm

Hideki Okawa

2023 arXiv arXiv preprint

Classical and quantum reservoir computing: development and applications in machine learning

Laia Domingo

2023 arXiv arXiv preprint

Classification of dynamical Lie algebras for translation-invariant 2-local spin systems in one dimension

Roeland Wiersema, Efekan Kökcü, Alexander F. Kemper, Bojko N. Bakalov

2023 arXiv arXiv preprint

Converging Frontiers: Stem Cells, Artificial Intelligence, and Quantum Computing in Transforming Traditional Healthcare

Assistant Professor, Department of Robotics, Massachusetts Institute of Technology, Jonathan Miller

2023 Crossref Stem Cell, Artificial Intelligence and Data Science Journal

Convolutional neural network based decoders for surface codes

Simone Bordoni, Stefano Giagu

2023 arXiv arXiv preprint

Coreset selection can accelerate quantum machine learning models with provable generalization

Yiming Huang, Huiyuan Wang, Yuxuan Du, Xiao Yuan

2023 arXiv arXiv preprint

Debating the Reliability and Robustness of the Learned Hamiltonian in the Traversable Wormhole Experiment

Galina Weinstein

2023 arXiv arXiv preprint

Deep Neural Network Assisted Quantum Chemistry Calculations on Quantum Computers.

Ghosh K, Kumar S, Rajan NM, Yamijala SSRKC.

2023 Europe PMC ACS Omega

Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments

Tareq Jaouni, Sören Arlt, Carlos Ruiz-Gonzalez, Ebrahim Karimi, Xuemei Gu, Mario Krenn

2023 arXiv arXiv preprint

Des-q: a quantum algorithm to provably speedup retraining of decision trees

Niraj Kumar, Romina Yalovetzky, Changhao Li, Pierre Minssen, Marco Pistoia

2023 arXiv arXiv preprint

Designing Hash and Encryption Engines using Quantum Computing

Suryansh Upadhyay, Rupshali Roy, Swaroop Ghosh

2023 arXiv arXiv preprint

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