Quantum Machine Learning

416 papers for year 2023

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 416 arXiv preprints 328 Crossref 63 Europe PMC 15 PubMed 2 DOAJ 8

Showing 73-84 of 416

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

Detecting genuine multipartite entanglement via machine learning

Yi-Jun Luo, Jin-Ming Liu, Chengjie Zhang

2023 arXiv arXiv preprint
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