December 09, 2022 preprint Open access Exponential concentration and untrainability in quantum kernel methods Research Square DOI: 10.21203/rs.3.rs-2296310/v1 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 47 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Symmetry-invariant quantum machine learning force fields 2025 New Journal of Physics article Computer Science Quantum Computing Algorithms and Architecture Open access 10 citations On the expressivity of embedding quantum kernels 2024 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access 18 citations Symmetry-invariant quantum machine learning force fields 2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access 4 citations Quantum machine learning beyond kernel methods 2023 Nature Communications article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 2 patents 228 citations Quantum Computing for High-Energy Physics: State of the Art and Challenges 2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access 19 citations 5 results References 0