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 601-612 of 4,265

Harnessing a 256-qubit Neutral Atom Simulator for Graph Classification

Edoardo Giusto, Gabriele Iurlaro, Bartolomeo Montrucchio, Alberto Scionti, Olivier Terzo, Chiara Vercellino, Giacomo Vitali, Paolo Viviani

2026 arXiv arXiv preprint

Harnessing DEN models for quantum computing tasks on neutral atom QPUs

Chiara Vercellino, Giacomo Vitali, Paolo Viviani, Alberto Scionti, Olivier Terzo, Bartolomeo Montrucchio

2026 arXiv arXiv preprint

Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems

Safae Gaidi, Abdallah Slaoui, Mohammed EL Falaki, Amine Jaouadi

2026 arXiv arXiv preprint

HCF-QNet: A GWO-Optimized Hybrid Contrastive Quantum Neural Network for Chronic Kidney Disease Prediction

Pathak A, Singh OP.

2026 Europe PMC Europe PMC

HCQNSC: a hybrid classical-quantum neural network for text sentiment classification

Tingyu Liu, Ying Li, Jingtao Wang, Yun Pan

2026 Crossref EPJ Quantum Technology

Hierarchy of discriminative power and complexity in learning quantum ensembles

Jian Yao, Pengtao Li, Xiaohui Chen, Quntao Zhuang

2026 arXiv arXiv preprint

Higgs Boson Spookiness: Probing Quantum Nonlocality with Spacetime-Resolved $H\rightarrowτ^+τ^-$ Decays

Lawrence Lee, John Lawless, Caroline Riggall

2026 arXiv arXiv preprint

High-capacity removal of crystal violet using ZIF-8/graphene quantum dot composite with RSM optimization and explainable machine learning.

Hussaini M, Onaizi SA, Vohra MS

2026 PubMed Scientific reports

High-Fidelity ROI CT Reconstruction with Limited Quantum Resources via Hybrid Classical-Quantum Refinement

Hyunju Lee, Jeonghwa Lee, Kyungtaek Jun

2026 arXiv arXiv preprint

High-temperature spectral dynamics and multiphonon carrier escape in CdTe/SiO2 quantum dots: A combined spectroscopic and machine learning study

D.S. Daibagya, I.A. Zakharchuk, A.V. Osadchenko, S.A. Ambrozevich, A.S. Selyukov, M.S. Smirnov, O.V. Ovchinnikov

2026 Crossref Optical Materials

High-throughput sequencing reveals microbial transitions in refrigerated sturgeon meat: Implications for quality assurance.

Pei J, Gong J, Liu Z, Jin W, Hou M, Abd El-Aty AM, Deng Q

2026 PubMed International journal of food microbiology

Higher-Order Token Interactions via Quantum Attention

Jian Xu, Chao Li, Delu Zeng, John Paisley, Qibin Zhao

2026 arXiv arXiv preprint