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 1513-1524 of 4,009
Fair Benchmarking of Optimisation Applications
Frank Phillipson
Fast and Accurate Pixel Calibration of Tof Neutron Diffractometers with Machine Learning
Albert P. Song, Ke An
Fast photostable expansion microscopy using QDots and deconvolution.
Loku Gunawardhana, Wilna Moree, Jiaming Guo, Camille Artur, Tasha Womack, Jason L Eriksen, David Mayerich
Fault Injection Attacks on Machine Learning-based Quantum Computer Readout Error Correction
Anthony Etim, Jakub Szefer
Feature Ranking in Credit-Risk with Qudit-Based Networks
Georgios Maragkopoulos, Lazaros Chavatzoglou, Aikaterini Mandilara, Dimitris Syvridis
Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung
FiD-QAE: A Fidelity-Driven Quantum Autoencoder for Credit Card Fraud Detection
Mansour El Alami, Adam Innan, Nouhaila Innan, Muhammad Shafique, Mohamed Bennai
Fidelity-Preserving Quantum Encoding for Quantum Neural Networks
Yuhu Lu, Jinjing Shi
Fisher Information, Training and Bias in Fourier Regression Models
Lorenzo Pastori, Veronika Eyring, Mierk Schwabe
Flexible Genetic Algorithm for Quantum Support Vector Machines
Nguyen Minh Duc, Vu Tuan Hai, Le Bin Ho, Tran Nguyen Lan
Foundation Model for Unified Characterization of Optical Quantum States
Xiaoting Gao, Yan Zhu, Feng-Xiao Sun, Ya-Dong Wu, Qiongyi He
Framework for Implementing Quantum Neural Networks in Wireless Communications
Salik Siddiqui, Justin Holzer, Joshua Malcarne, Galahad M. B. Wernsing, Alexander M. Wyglinski