Quantum Machine Learning

4,265 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.

Showing 493-504 of 4,265

Explainable machine learning reveals how molecular descriptors govern micropollutant degradation in UV/H(2)O(2) oxidation.

Nurhayati M, Kim S, Lee BJ, Shon HK, Cho J, Lee S

2026 PubMed Water research

Explainable quantum convolutional neural network for attack detection in healthcare IoMT systems using SHAP and Grid5000 computing

M Y Amara, Sami Mnasri, M Y Amara, Thierry Val

2026 OpenAlex SPIRE - Sciences Po Institutional REpository

Explainable quantum regression algorithm with encoded data structure

C. -C. Joseph Wang, F. Perkkola, I. Salmenperä, A. Meijer-van de Griend, J. K. Nurminen

2026 arXiv arXiv preprint

Explainable Quantum-Logical Multi-Agent Systems for Autonomous Scientific Discovery in High-Dimensional Research Landscapes

Murali Krishna Pasupuleti

2026 Crossref International Journal of Academic and Industrial Research Innovations(IJAIRI)

Explicit Block Encoding of Difference-of-Gaussian Operators on a Periodic Grid

Jishnu Mahmud, John Winship, Tom Lash, James Ostrowski, Rebekah Herrman

2026 arXiv arXiv preprint

Exploiting biased noise in variational quantum models

Connor van Rossum, Sally Shrapnel, Riddhi Gupta

2026 Crossref Quantum Science and Technology

Exploiting More Than Symmetry in Variational Quantum Machine Learning

Markus Baumann, Claudia Linnhoff-Popien

2026 arXiv arXiv preprint

Exploiting the path-integral radius of gyration in open quantum dynamics

Andrew C. Hunt, Stuart C. Althorpe

2026 arXiv arXiv preprint

Exploration of quantum entanglement technologies for semiconductor inspection: practical applications and future directions

Yasunori Furukawa, Tetsuya Nishimura, Masafumi Asano, Masayoshi Arai, Yu Mukai, Ryo Okamoto, Shigeki Takeuchi

2026 Crossref Metrology, Inspection, and Process Control XL

Exploring celecoxib polymorph landscape using AIMNet2 machine learning interatomic potential.

Zheng P, Abramov YA, Sun CC, Isayev O

2026 PubMed Chemical science

Exploring quantum active learning for materials design and discovery.

Lourenço MP, Zadeh-Haghighi H, Hostaš J, Naseri M, Gaur D, Simon C, Salahub DR.

2026 Europe PMC Phys Chem Chem Phys

Exploring the Effects of Entanglement on Quantum Machine Learning of Pathogen Epitope-Receptor Binding

Aspen Erlandsson Brisebois, Luis Pablo Gonzalez Dominguez, Shivansi Prajapati, Zahed Khatooni, Heather L. Wilson, Connor Burbridge, Brook Byrns, Sureesh Tikoo, Christophe Pere, Steven Rayan, Gordon Broderick

2026 arXiv arXiv preprint