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 1561-1566 of 1,566
Working with measurement-based computations on qudits
Piotr Mitosek, Miriam Backens
2026
arXiv
arXiv preprint
Worst-case Harrow-Hassidim-Lloyd algorithm with average-case correct quantum Fourier transform
Changpeng Shao
2026
arXiv
arXiv preprint
WSBD: Freezing-Based Optimizer for Quantum Neural Networks
Christopher Kverne, Mayur Akewar, Yuqian Huo, Tirthak Patel, Janki Bhimani
2026
arXiv
arXiv preprint
Zeno-Enhanced Probabilistic Error Cancellation with Quantum Error Detection Codes
Yi Yuan, Yuanchen Zhao, Dong E. Liu
2026
arXiv
arXiv preprint
Zygmunt Zawirski: The forgotten forefather of quantum logic.
Drozdowska E
2026
PubMed
Studies in history and philosophy of science
Δ-Machine learning for coupled potential energy surfaces: application to the three-state coupled Cl(2)O(+) and four-state coupled ArNO(+) systems.
Liu J, Hou S, Gao H, Xie C
2026
PubMed
Physical chemistry chemical physics : PCCP