Solving nonlinear differential equations with differentiable quantum circuits O Kyriienko, AE Paine, VE Elfving Physical Review A 103 (5), 052416, 2021 | 145 | 2021 |
How will quantum computers provide an industrially relevant computational advantage in quantum chemistry? VE Elfving, BW Broer, M Webber, J Gavartin, MD Halls, KP Lorton, ... arXiv preprint arXiv:2009.12472, 2020 | 103 | 2020 |
Generalized quantum circuit differentiation rules O Kyriienko, VE Elfving Physical Review A 104 (5), 052417, 2021 | 58 | 2021 |
Simulating quantum chemistry in the seniority-zero space on qubit-based quantum computers VE Elfving, M Millaruelo, JA Gámez, C Gogolin Physical Review A 103 (3), 032605, 2021 | 45 | 2021 |
Purification-based quantum error mitigation of pair-correlated electron simulations TE O’Brien, G Anselmetti, F Gkritsis, VE Elfving, S Polla, WJ Huggins, ... Nature Physics 19 (12), 1787-1792, 2023 | 39 | 2023 |
The impact of hardware specifications on reaching quantum advantage in the fault tolerant regime M Webber, V Elfving, S Weidt, WK Hensinger AVS Quantum Science 4 (1), 2022 | 39 | 2022 |
Interfacing superconducting qubits and single optical photons using molecules in waveguides S Das, VE Elfving, S Faez, AS Sørensen Physical review letters 118 (14), 140501, 2017 | 38 | 2017 |
Photon scattering from a system of multilevel quantum emitters. II. Application to emitters coupled to a one-dimensional waveguide S Das, VE Elfving, F Reiter, AS Sørensen Physical Review A 97 (4), 043838, 2018 | 29 | 2018 |
Photon scattering from a system of multilevel quantum emitters. I. Formalism S Das, VE Elfving, F Reiter, AS Sørensen Physical Review A 97 (4), 043837, 2018 | 29 | 2018 |
Quantum kernel methods for solving regression problems and differential equations AE Paine, VE Elfving, O Kyriienko Physical Review A 107 (3), 032428, 2023 | 26 | 2023 |
Quantum approximate optimization for hard problems in linear algebra A Borle, V Elfving, SJ Lomonaco SciPost Physics Core 4 (4), 031, 2021 | 23 | 2021 |
Quantum feature maps for graph machine learning on a neutral atom quantum processor B Albrecht, C Dalyac, L Leclerc, L Ortiz-Gutiérrez, S Thabet, ... Physical Review A 107 (4), 042615, 2023 | 22 | 2023 |
Protocols for trainable and differentiable quantum generative modelling O Kyriienko, AE Paine, VE Elfving arXiv preprint arXiv:2202.08253, 2022 | 14 | 2022 |
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time‐Series AE Paine, VE Elfving, O Kyriienko Advanced Quantum Technologies 6 (10), 2300065, 2023 | 13 | 2023 |
Quantum model-discovery N Heim, A Ghosh, O Kyriienko, VE Elfving arXiv preprint arXiv:2111.06376, 2021 | 10 | 2021 |
Financial risk management on a neutral atom quantum processor L Leclerc, L Ortiz-Gutiérrez, S Grijalva, B Albrecht, JRK Cline, VE Elfving, ... Physical Review Research 5 (4), 043117, 2023 | 9 | 2023 |
Enhancing quantum transduction via long-range waveguide-mediated interactions between quantum emitters VE Elfving, S Das, AS Sørensen Physical Review A 100 (5), 053843, 2019 | 9 | 2019 |
How will quantum computers provide an industrially relevant computational advantage in quantum chemistry?, arXiv, 2020 VE Elfving, BW Broer, M Webber, J Gavartin, MD Halls, KP Lorton, ... arXiv preprint arXiv:2009.12472, 0 | 9 | |
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 | 6 | 2023 |
Simulating quantum chemistry in the restricted Hartree–Fock space on a qubit-based quantum computing device VE Elfving, JA Gámez, C Gogolin arXiv preprint arXiv:2002.00035, 2020 | 6 | 2020 |