Quantum Machine Learning
486 papers for year 2025
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 325-336 of 486
Quantifying the advantage of vector over scalar magnetic sensor networks for undersea surveillance
Wenchao Li, Xuezhi Wang, Qiang Sun, Allison N. Kealy, Andrew D. Greentree
Quantum advantage for learning shallow neural networks with natural data distributions.
Lewis L, Gilboa D, McClean JR.
Quantum Agents for Algorithmic Discovery
Iordanis Kerenidis, El-Amine Cherrat
Quantum AI Based Diagnosis System for Early Brain Tumor and Lung Cancer Detection
Dr. S. Gunasekaran
Quantum algorithms for viscosity solutions to nonlinear Hamilton-Jacobi equations based on an entropy penalisation method
Shi Jin, Nana Liu
Quantum Annealing for Realistic Traffic Flow Optimization: Clustering and Data-Driven QUBO
Renáta Rusnáková, Martin Chovanec, Juraj Gazda
Quantum Approaches to Urban Logistics: From Core QAOA to Clustered Scalability
F. Picariello, G. Turati, R. Antonelli, I. Bailo, S. Bonura, G. Ciarfaglia, S. Cipolla, P. Cremonesi, M. Ferrari Dacrema, M. Gabusi, I. Gentile, V. Morreale, A. Noto
Quantum Approximate Optimization Algorithm for MIMO with Quantized b-bit Beamforming
Nikos A Mitsiou, Ioannis Krikidis, George K Karagiannidis
Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
Thore Gerlach, Michael Schenk, Verena Kain
Quantum Combinatorial Reasoning for Large Language Models
Carlos Flores-Garrigos, Gaurav Dev, Michael Falkenthal, Alejandro Gomez Cadavid, Anton Simen, Shubham Kumar, Enrique Solano, Narendra N. Hegade
Quantum Computing Methods for Malware Detection
Eliška Krátká, Aurél Gábor Gábris
Quantum Computing Standardization and Regulation: Status and Way Forward
Valerio Frascolla