July 01, 2026 conference-paper Learning Depth-Structured Parameterizations for Efficient Optimisation of Deep Quantum Circuits IEEE International Conference on Quantum Software (QSW) DOI: 10.1109/qsw72780.2026.00015 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 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 Layerwise learning for quantum neural networks 2021 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 2 patents 320 citations Parameterized quantum circuits as universal generative models for continuous multivariate distributions 2025 npj Quantum Information article Computer Science Quantum Computing Algorithms and Architecture Open access 11 citations 2 results