Quantum Machine Learning
3,957 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 2125-2136 of 3,957
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
Quantum Boltzmann machine learning of ground-state energies
Dhrumil Patel, Daniel Koch, Saahil Patel, Mark M. Wilde
Quantum Circuit Architecture Search on a Superconducting Processor.
Linghu K, Qian Y, Wang R, Hu MJ, Li Z, Li X, Xu H, Zhang J, Ma T, Zhao P, Liu DE, Hsieh MH, Wu X, Du Y, Tao D, Jin Y, Yu H.
Quantum Clustering for Cybersecurity
Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique
Quantum Collaboration: Pioneering the Frontier of Enhanced Artificial Intelligence
Zouhair LAKHYAR