Quantum Machine Learning
4,297 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 2461-2472 of 4,297
Quantum Advantage with Faulty Oracle
David Rasmussen Lolck, Laura Mančinska, Manaswi Paraashar
Quantum Algorithm for a Stochastic Multicloud Model
Kazumasa Ueno, Hiroaki Miura
Quantum Algorithm for Online Exp-concave Optimization
Jianhao He, Chengchang Liu, Xutong Liu, Lvzhou Li, John C. S. Lui
Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent
Debbie Lim, Yixian Qiu, Patrick Rebentrost, Qisheng Wang
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li
Quantum algorithms for optimizers
Giacomo Nannicini
Quantum Algorithms for Realizing Symmetric, Asymmetric, and Antisymmetric Projectors
Margarite L. LaBorde, Soorya Rethinasamy, Mark M. Wilde
Quantum annealing for nearest neighbour compliance problem.
Müller S, Phillipson F.
Quantum Approximate $k$-Minimum Finding
Minbo Gao, Zhengfeng Ji, Qisheng Wang
Quantum Architecture Search: A Survey
Darya Martyniuk, Johannes Jung, Adrian Paschke
Quantum Artificial Intelligence: A Brief Survey
Matthias Klusch, Jörg Lässig, Daniel Müssig, Antonio Macaluso, Frank K. Wilhelm
Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection
Owais Ishtiaq Siddiqui, Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique