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 985-996 of 4,009
Quantum kernel learning achieves battery prognostics on noisy quantum hardware
Amirkianoosh Kiani
Quantum Kernel Machine Learning for Autonomous Materials Science
Felix Adams, Daiwei Zhu, David W. Steuerman, A. Gilad Kusne, Ichiro Takeuchi
Quantum kernel methods for marketing analytics with convergence theory and separation bounds.
Sáez Ortuño L, Forgas Coll S, Ferrara M.
Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline
Tushar Pandey
Quantum Learning of Classical Correlations with continuous-domain Pauli Correlation Encoding
Vicente P. Soloviev, Bibhas Adhikari
Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh, Hector Zenil, Jesper Tegner
Quantum linear solvers for scientific computing: a comparison of VQLS, HHL and quantum annealing on time-fractional diffusion problems.
Shayegan AHS.
Quantum Machine Learning Approaches for Medical Image Analysis: Methods and Diagnostic Applications
Osman AB, owolabi A.
Quantum machine learning approaches to state-of-health prediction and optimization in energy storage devices
Mojtaba Khakpour Komarsofla, Amirkianoosh Kiani
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors
Vojtěch Novák, Ivan Zelinka, Lenka Přibylová, Lubomír Martínek, Vladimír Benčurík, Martin Beseda
Quantum Machine Learning for Complex Systems
Vinit Singh, Amandeep Singh Bhatia, Mandeep Kaur Saggi, Manas Sajjan, Sabre Kais
Quantum machine learning for complex systems: paradigms, applications, and challenges
Vinit Singh, Amandeep Singh Bhatia, Mandeep Kaur Saggi, Manas Sajjan, Sabre Kais