Quantum Machine Learning
1,566 papers for year 2026
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 13-24 of 1,566
A Digital Spreading Framework for Quantum Expectation Computation Without Rotation Gates or Arithmetic Circuits
Yu-Ting Kao, Yeong-Jar Chang
2026
arXiv
arXiv preprint
A federated deep learning approach for SDN security with quantum optimized feature selection and hybrid MSDC net architecture.
Rohith S, Logeswari G, Tamilarasi K, Sudhakaran G
2026
PubMed
Scientific reports
A four-dimensional controllable multi-wing hyperchaotic system: design, nonlinear dynamics analysis, and application to quantum key distribution
Xin Huang, Qun Ding
2026
Crossref
EPJ Quantum Technology
A four-player potential game for barren-plateau-aware quantum ansatz design
Rubén Darío Guerrero
2026
arXiv
arXiv preprint
A Fully Quantum Algorithm for Image Edge Detection
Fred Sun
2026
arXiv
arXiv preprint
A Game Theoretic Approach for Optimizing Quantum Error Budget Distribution
Asif Akhtab Ronggon, Tasnuva Farheen
2026
arXiv
arXiv preprint
A general tensor-structured compression scheme for efficient large language models
Ying Lu, Peng-Fei Zhou, Qi-Xuan Fang, Pan Zhang, Shi-Ju Ran, Gang Su
2026
arXiv
arXiv preprint
A hardware efficient quantum residual neural network without post-selection
Amena Khatun, Akib Karim, Muhammad Usman
2026
arXiv
arXiv preprint
A Hardware-Feasible Quantum Machine Learning Framework for Structure-Based Virtual Screening.
Yang PK.
2026
Europe PMC
J Chem Theory Comput
A Hybrid Model with Quantum Feature Map Based on CNN and Vision Transformer for Clinical Support in Diagnosis of Acute Appendicitis.
Ogut Z, Karaduman M, Bozdag PG, Karakose M, Yildirim M.
2026
Europe PMC
Biomedicines
A Hybrid Quantum Classical Framework for Enhanced Machine Learning Performance on High Dimensional Data
Ugwumba NK.
2026
Europe PMC
Europe PMC
A Hybrid Quantum Machine Learning Framework Based on Nyström Approximation for Scalability Enhancement of Quantum Kernels
Rezvannia M.
2026
Europe PMC
Europe PMC