Quantum Machine Learning
4,265 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 181-192 of 4,265
Assessing the performance of quantum-mechanical descriptors in physicochemical and biological property prediction.
Hinostroza Caldas A, Kokorin A, Tkatchenko A, Medrano Sandonas L
Assessing the Practical Feasibility of the Clader-Jacobs-Sprouse Quantum Algorithm for Calculating Radar Cross Sections
Edward Parker, Nicholas A. O'Donoughue, Alvin Moon, Nicolas M. Robles
Assessment of quantum chemical predictors for anti-colorectal cancer agents using QSAR modeling.
Alharbi Y, Yadav K, Alkwai LM, Dutta D, Abumalek A
Association of Weight Loss With Improvement in Metabolic Status Among People Eligible for the Specific Health Guidance Program.
Nishikawa M, Suzuki Y, Ko T, Kaneko H, Okada A, Takeda N, Morita H, Fujiu K, Azegami T, Hayashi K, Kitaoka K, Miura K, Furui Y, Node K, Yasunaga H, Nangaku M, Takeda N
Asymptotic Expansions for Neural Network Approximations of Quantum Channels
Chaves dos Santos RD.
Asymptotic Expansions for Neural Network Approximations of Quantum Channels
RĂ´mulo Damasclin Chaves dos Santos
Atomistic Insights into Aqueous Phase Carbonyl Hydrogenation over Ru Catalysts from a Hybrid Quantum Mechanical/Molecular Mechanical/Machine Learning Potential
Mehdi Zare, Dia Sahsah, Paratee Komen, Andreas Heyden
Atrial myopathy subtypes: Association with and prediction of incident atrial fibrillation-The atherosclerosis risk in communities study (ARIC).
Moser ED, He R, Wang W, Van't Hof JR, Sun D, Zhang C, Zhang MJ, Chan LS, Solomon SD, Shah AM, Pan W, Chen LY
Attention in Krylov Space
Zihao Qi, Christopher Earls
Attention-based optimizer for symmetry finding
Shreya Banerjee, Vinodh Raj Rajagopal Muthu, Charlie Nation, Rick P. A. Simon, Francesco Martini, Alessandro Ricottone, Federico Cerisola, Luca Dellantonio
Attention-Like Hebbian Learning from Quantum Probability Flow and Quantum-Annealer Tests
Masayuki Ohzeki
Augmenting Large Language Models for Automated Discovery of F-Element Extractants.
Zhang B, Summers TJ, Augustine LJ, Taylor MG, Geist A, Li R, Batista ER, Perez D, Yang P, Schrier J