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 637-648 of 3,957
Machine learning-aided direct estimation of coherence and entanglement for unknown states
Ting Lin, Zhihua Chen, Kai Wu, Zhihua Guo, Zhihao Ma, Shao-Ming Fei
Machine Learning-based Quantum Error Mitigation for Variational Algorithms
Nikita Korolev, Kirill Lakhmanskiy, Daniil Rabinovich
Machine learning-driven molecular engineering of nucleic acids.
Shi Q, Lv H, Wang F, Fan C, Li M
Machine learning–guided thermal stability and degradation kinetics of ultra-fine polyamide-derived carbon quantum dots
Christian Ebere Enyoh, Qingyue Wang
Machine Learning/Molecular Mechanics Enzymology for the Next Generation of Computational Enzymatic Catalysis.
Wang X, Wang J, Li WL
Machine-learned, finite temperature Fermi-operator expansions suitable for GPUs and AI-hardware
Stanislaw Kowalski, Christian F. A. Negre, Anders M. N. Niklasson, Kipton Barros, Joshua Finkelstein
Machine-Learning Optimization and Characterization of a High-Optical-Depth Two-Color Nanofiber Trap
W. Crump, M. Sadeghi, M. D. Hoogerland
Machine-learning-assisted material and geometry characterization from Casimir force measurement
Hideo Iizuka, Shanhui Fan
Magnitude Is All You Need? Rethinking Phase in Quantum Encoding of Complex SAR Data
Sakthi Prabhu Gunasekar, Prasanna Kumar R
Margin-Based Generalisation Bounds for Quantum Kernel Methods under Local Depolarising Noise
Saarisha Govender, Ilya Sinayskiy
Mathematical modeling and feature extraction architecture of a quantum-inspired attention network for UAV image classification
Hanaa Abu-Zinadah, Sayed Abdel-Khalek
Maximizing the non-demolition nature of a quantum measurement via an adaptive readout protocol
Anonymous