| Solving nonlinear differential equations with differentiable quantum circuits O Kyriienko, AE Paine, VE Elfving Physical Review A 103 (5), 052416, 2021 | 191 | 2021 |
| Quantum kernel methods for solving regression problems and differential equations AE Paine, VE Elfving, O Kyriienko Physical Review A 107 (3), 032428, 2023 | 38 | 2023 |
| Protocols for trainable and differentiable quantum generative modeling O Kyriienko, AE Paine, VE Elfving Physical Review Research 6 (3), 033291, 2024 | 21 | 2024 |
| Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time‐Series AE Paine, VE Elfving, O Kyriienko Advanced Quantum Technologies 6 (10), 2300065, 2023 | 16 | 2023 |
| Physics-Informed Quantum Machine Learning: Solving nonlinear differential equations in latent spaces without costly grid evaluations AE Paine, VE Elfving, O Kyriienko arXiv preprint arXiv:2308.01827, 2023 | 14 | 2023 |
| What can we learn from quantum convolutional neural networks? C Umeano, AE Paine, VE Elfving, O Kyriienko Advanced Quantum Technologies, 2400325, 2023 | 10 | 2023 |
| Quantum chebyshev transform: Mapping, embedding, learning and sampling distributions (2023) CA Williams, AE Paine, HY Wu, VE Elfving, O Kyriienko arXiv preprint arXiv:2306.17026, 0 | 8 | |
| Quantum kernel methods for solving differential equations AE Paine, VE Elfving, O Kyriienko arXiv preprint arXiv:2203.08884, 2022 | 6 | 2022 |
| What can we learn from quantum convolutional neural networks?(2023) C Umeano, AE Paine, VE Elfving, O Kyriienko arXiv preprint arXiv:2308.16664, 0 | 6 | |
| Protocols for trainable and differentiable quantum generative modelling (2022) O Kyriienko, AE Paine, VE Elfving arXiv preprint arXiv:2202.08253, 0 | 6 | |
| Quantum chebyshev transform: Mapping, embedding, learning and sampling distributions CA Williams, AE Paine, HY Wu, VE Elfving, O Kyriienko arXiv preprint arXiv:2306.17026, 2023 | 4 | 2023 |
| Solving a set of (non) linear differential equations using a hybrid data processing system comprising a classical computer system and a quantum computer system VE Elfving, O Kyriienko, AE Paine US Patent App. 18/252,961, 2023 | 1 | 2023 |
| Methods and systems for solving a stochastic differential equation using a hybrid computer system VE Elfving, AE Paine, O Kyriienko US Patent App. 18/294,817, 2024 | | 2024 |
| Quantum Machine Learning and Quantum Protocols for Solving Differential Equations AE Paine PQDT-Global, 2024 | | 2024 |
| Differentiable Quantum Circuits for Solving Differential Equations and Generating Time Series A Paine, O Kyriienko, V Elfving APS March Meeting Abstracts 2022, Z38. 014, 2022 | | 2022 |
Oleksandr KyriienkoProfessor at the University of SheffieldAdresă de e-mail confirmată pe sheffield.ac.uk