Quantum Machine Learning
4,009 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 913-924 of 4,009
Quantitative Analysis of the Effectiveness of Mid-anneal Measurement in Quantum Annealing
Keita Takahashi, Shu Tanaka
2026
Crossref
Journal of the Physical Society of Japan
Quantitative Universal Approximation for Noisy Quantum Neural Networks
Lukas Gonon, Antoine Jacquier, Marcel Mordarski
2026
arXiv
arXiv preprint
Quantum advantage in distributed sensing with noisy quantum networks
Anonymous
2026
Crossref
Physical Review Research
Quantum Advantage in Multi Agent Reinforcement Learning
Simranjeet Singh Dahia, Claudia Szabo
2026
arXiv
arXiv preprint
Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
Syed Farhan Ahmad, Gregory T. Byrd
2026
arXiv
arXiv preprint
Quantum algorithm for estimating Olivier-Ricci curvature
Anonymous
2026
Crossref
Physical Review Research
Quantum Algorithms for Gibbs Expectation of Non-log-concave and Heavy-tailed Distributions
Xinmiao Li, Jin-Peng Liu
2026
arXiv
arXiv preprint
Quantum and classical computing model
Kimaya Rajput, Stephanie Callahan
2026
Crossref
Quantum Computing, Communication, and Simulation VI
Quantum and classical processing with photonic quantum machine learning
J. C. López Carreño, S. Świerczewski, A. Opala, A. Salavrakos, B. Piętka, M. Matuszewski
2026
arXiv
arXiv preprint
Quantum and classical query complexities for determining connectedness of matroids
Xiaowei Huang, Shiguang Feng, Lvzhou Li
2026
Crossref
Journal of Computer and System Sciences
Quantum Annealing: Optimisation, Sampling, and Many-Body Dynamics
Steven Abel, Andrei Constantin, Luca A. Nutricati
2026
arXiv
arXiv preprint
Quantum Approach for Market Basket Analysis on Qudit Systems
Ceylan SO, Yücebaş SC.
2026
Europe PMC
Europe PMC