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 2677-2688 of 4,009
Quantum-Enhanced Graph Analytics: A Hybrid AI Framework for Seller Fraud Detection in Online Marketplaces
Postdoctoral Fellow, Center for Quantum Neural Networks, Harvard University, Laura Thompson
Quantum-enhanced greedy combinatorial optimization solver.
Dupont M, Evert B, Hodson MJ, Sundar B, Jeffrey S, Yamaguchi Y, Feng D, Maciejewski FB, Hadfield S, Alam MS, Wang Z, Grabbe S, Lott PA, Rieffel EG, Venturelli D, Reagor MJ.
Quantum-enhanced policy iteration on the example of a mountain car
Egor E. Nuzhin, Dmitry Yudin
Quantum-Inspired Machine Learning: a Survey
Larry Huynh, Jin Hong, Ajmal Mian, Hajime Suzuki, Yanqiu Wu, Seyit Camtepe
Quantum-Inspired Neural Network Model of Optical Illusions
Ivan S. Maksymov
Quantum-Noise-Driven Generative Diffusion Models
Marco Parigi, Stefano Martina, Filippo Caruso
Quantum-Secure Hybrid Blockchain System for DID-Based Verifiable Random Function with NTRU Linkable Ring Signature
Bong Gon Kim, Dennis Wong, Yoon Seok Yang
QUAVER: Quantum Unfoldment through Visual Engagement and Storytelling Resources
Ishan Shivansh Bangroo, Samia Amir
Qudit Machine Learning
Sebastián Roca-Jerat, Juan Román-Roche, David Zueco
Quid Manumit -- Freeing the Qubit for Art
Mark Carney
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers
Daniel Silver, Tirthak Patel, Devesh Tiwari
Radio Signal Classification by Adversarially Robust Quantum Machine Learning
Yanqiu Wu, Eromanga Adermann, Chandra Thapa, Seyit Camtepe, Hajime Suzuki, Muhammad Usman