July 29, 2026 review Open access Artificial intelligence for representing and characterizing quantum systems Nature Reviews Physics DOI: 10.1038/s42254-026-00962-5 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 1 References 4 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 Explainable representation learning of small quantum states 2023 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access 11 citations On establishing learning separations between classical and quantum machine learning with classical data 2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access 9 citations Exponential separations between classical and quantum learners 2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access 7 citations Exponential quantum advantages in learning quantum observables from classical data 2026 npj Quantum Information article Computer Science Quantum Computing Algorithms and Architecture Open access 4 citations 4 results