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 205-216 of 4,297

Barren Plateaus Beyond Observable Concentration

Zi-Shen Li, Bujiao Wu, Xiao-Wei Li, Man-Hong Yung

2026 arXiv arXiv preprint

Bayesian quantum sensing using graybox machine learning

Akram Youssry, Stefan Todd, Patrick Murton, Muhammad Junaid Arshad, Alberto Peruzzo, Cristian Bonato

2026 arXiv arXiv preprint

Bayesian rational agents in iterated quantum games

John B. DeBrota, Peter J. Love

2026 Crossref Physical Review A

Bayesian Sequential Verification for Budget-Aware Quantum Program Testing

Lei Zhang

2026 arXiv arXiv preprint

Benchmarking deep and hybrid quantum classical models for Gallo Roman ceramic sherd classification

CHAIDRON C, Imrani HT.

2026 Europe PMC Europe PMC

Benchmarking Encoding Families in Quantum Neural Networks Under Fixed Circuit Area for Frequency Spectrum and Trainability

Martyna Czuba, Patrick Holzer, Hein Zay Yar Oo

2026 arXiv arXiv preprint

Benchmarking fault-tolerant quantum computing hardware via QLOPS

Linghang Kong, Fang Zhang, Jianxin Chen

2026 Crossref ACM Transactions on Quantum Computing

Benchmarking loss functions for trainable quantum feature maps

Nguyen Dinh Quyen, Vu Tuan Hai, Quoc Chuong Nguyen, Le Bin Ho, Lan Nguyen Tran

2026 arXiv arXiv preprint

Benchmarking Quantum and Classical Machine Learning Models on Oncological Data

Sydney Leither, Thomas Lubinski, Michael Kubal, Sonika Johri

2026 arXiv arXiv preprint

Benchmarking Quantum Annealing for a Greenhouse-Inspired Control QUBO

Hamzeh Alavirad, Maryam Bahrami Zanjani

2026 arXiv arXiv preprint

Benchmarking Quantum Feature Encoding Strategies for Binary Classification with QSVM

Murat Kurt

2026 arXiv arXiv preprint

Benchmarking Quantum Kernel Support Vector Machines Against Classical Baselines on Tabular Data: A Rigorous Empirical Study with Hardware Validation

Siavash Kakavand, Christoph Strohmeyer, Michael Schlotter

2026 arXiv arXiv preprint

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