| Power network optimization: a quantum approach G Colucci, S van der Linde, F Phillipson IEEE Access 11, 98926-98938, 2023 | 27 | 2023 |
| qgym: A gym for training and benchmarking rl-based quantum compilation S Van Der Linde, W De Kok, T Bontekoe, S Feld 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 13 | 2023 |
| Quantum computer-assisted global optimization in geophysics illustrated with stack-power maximization for refraction residual statics estimation M Dukalski, D Rovetta, S van der Linde, M Möller, N Neumann, ... Geophysics 88 (2), V75-V91, 2023 | 13 | 2023 |
| Hybrid classical-quantum computing in geophysical inverse problems: The case of quantum annealing for residual statics estimation SG Van der Linde, M Dukalski, M Möller, NMP Neumann, F Phillipson, ... Sixth EAGE High Performance Computing Workshop 2022 (1), 1-5, 2022 | 4 | 2022 |
| Quantum Annealing for Seismic Imaging SG van der Linde Exploring Quantum Annealing Possibilities For Residual Statics Estimation …, 2021 | 4 | 2021 |
| Efficient Quantum Solution for the Constrained Tactical Capacity Problem for Distributed Electricity Generation SG van der Linde, W van der Schoot, F Phillipson International Conference on Innovations for Community Services, 203-221, 2023 | 2 | 2023 |
| Quantum algorithms for N-1 security in power grids NMP Neumann, S van der Linde, W de Kok, K Leijnse, J Boschero, ... arXiv preprint arXiv:2405.00434, 2024 | | 2024 |
| Automatic NMO Correction Using Quantum Computing S Van der Linde, S Cramer, C Hoek, E Aguilera, S Carpentier Fourth EAGE Digitalization Conference & Exhibition 2024 (1), 1-5, 2024 | | 2024 |
| Residual Statics Estimation with Quantum Annealing DR S Van der Linde, M Dukalski, M Möller, N Neumann, F Phillipson 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | | 2022 |
| Posits als vervanging van floating-points S van der Linde, M Möller | | 2018 |
| Posits als vervanging van floating-points: Een vergelijking van Unum Type III Posits met IEEE 754 Floating Points met Mathematica en Python S van der Linde | | 2018 |
| Optimizing Initial Qubit Mappings With Variable Connection Fidelity Using Deep Reinforcement Learning RA Oancea, S van der Linde, W de Kok, M Sabatelli, S Feld | | |
