Quantum Machine Learning

3,957 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 217-228 of 3,957

Characterization and Clinical Translation of a Novel Prototype Kilovoltage Dual-Layer Imager for Onboard Imaging.

Harris TC, Jacobson M, Bruegger R, Birrer V, Ferguson D, Hu YH, Myronakis M, Lehmann M, Arroyo PC, Etemadpour R, Fueglistaller R, Berbeco RI

2026 PubMed International journal of radiation oncology, biology, physics

Characterization and upgrade of a quantum graph neural network for charged particle tracking

Matteo Argenton, Laura Cappelli, Concezio Bozzi

2026 arXiv arXiv preprint

Characterizing the Burst Error Correction Ability of Quantum Cyclic Codes

Jihao Fan, Min-Hsiu Hsieh

2026 Crossref IEEE Transactions on Information Theory

CHARMM-GUI Hybrid ML/MM Builder for Hybrid Machine Learning and Molecular Mechanical Modeling and Simulations.

Szczepaniak F, Suh D, Im W.

2026 Europe PMC J Chem Inf Model

ChemRefine: An Open-Source Automated and Interoperable Platform for Machine Learning and Quantum Chemistry Simulations.

Migliaro I, Weiss MGS, Sterling AJ

2026 PubMed Journal of chemical theory and computation

Circuit Harmonic Matrices: A Spectral Framework for Quantum Machine Learning

Kyle James Stuart Campbell, Luigi Del Debbio, Petros Wallden

2026 arXiv arXiv preprint

Circuit Theory Based on New Concepts and Its Application to Quantum Theory

Nobuo Nagai, Hirofumi Sanada, Takashi Yahagi

2026 Crossref Journal of Signal Processing

Circular Polarization-Based Quantum Encoding for Image Transmission over Error-Prone Channels

Udara Jayasinghe, Anil Fernando

2026 Crossref Signals

Classic and Quantum Task-Based Intelligent Runtime for QIRs Running on Multiple QPUs

Narasinga Rao Miniskar, Elaine Wong, Vicente Leyton-Ortega, Jeffrey S. Vetter, Travis S. Humble

2026 arXiv arXiv preprint

Classical and Quantum Machine Learning for Population-Level Prediction of Heat-Related Physiological Events

Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado, Urko Regueiro-Ramos, Daniel Casado-Faulı, Sergi Consul-Pacareu, Parfait Atchade-Adelomou

2026 arXiv arXiv preprint

Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent

Yihang Sun, Huaijin Wang, Patrick Hayden, Jose Blanchet

2026 arXiv arXiv preprint

Classical neural networks on quantum devices via tensor network disentanglers: A case study in image classification

Borja Aizpurua, Sukhbinder Singh, Román Orús

2026 Crossref Physical Review Research