| Optimizing quantum heuristics with meta-learning M Wilson, R Stromswold, F Wudarski, S Hadfield, NM Tubman, EG Rieffel Quantum Machine Intelligence 3, 1-14, 2021 | 78 | 2021 |
| Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning M Wilson, T Vandal, T Hogg, EG Rieffel Quantum Machine Intelligence 3, 1-14, 2021 | 37 | 2021 |
| From ansatze to z-gates: a NASA view of quantum computing EG Rieffel, S Hadfield, T Hogg, S Mandrà, J Marshall, G Mossi, ... Future Trends of HPC in a Disruptive Scenario 34, 133, 2019 | 20 | 2019 |
| Neural network ansatz for periodic wave functions and the homogeneous electron gas M Wilson, S Moroni, M Holzmann, N Gao, F Wudarski, T Vegge, ... Physical Review B 107 (23), 235139, 2023 | 18 | 2023 |
| Simulations of state-of-the-art fermionic neural network wave functions with diffusion Monte Carlo M Wilson, N Gao, F Wudarski, E Rieffel, NM Tubman arXiv preprint arXiv:2103.12570, 2021 | 16 | 2021 |
| High-dimensional similarity search with quantum-assisted variational autoencoder N Gao, M Wilson, T Vandal, W Vinci, R Nemani, E Rieffel Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 16 | 2020 |
| Wave function ansatz (but periodic) networks and the homogeneous electron gas M Wilson, S Moroni, M Holzmann, N Gao, F Wudarski, T Vegge, ... arXiv preprint arXiv:2202.04622, 2022 | 14 | 2022 |
| Overview of NASA QuAIL Team Research S Grabbe, E Rieffel, S Hadfield, S Mandra, J Marshall, G Mossi, ... D-Wave Qubits North America Users Conference, 2019 | 3 | 2019 |
| Hybrid quantum-classical reservoir computing for simulating chaotic systems F Wudarski, D OConnor, S Geaney, AA Asanjan, M Wilson, E Strbac, ... arXiv preprint arXiv:2311.14105, 2023 | 2 | 2023 |
| Quantum Annealing for Mobility Studies: Generation of GO/NO-GO Maps via Quantum-Assisted Machine Learning R Serban, M Wilson, M Benedetti, J Realpe-Gómez, A Perdomo-Ortiz, ... | 1 | 2018 |
| Quantum annealing for mobility studies: go/no-go maps via quantum-assisted machine learning R Serban, M Wilson, M Benedetti, J Realpe-Gómez, A Perdomo-Ortiz, ... Proceedings of the 2018 Ground Vehicle Systems Engineering and Technology …, 2018 | 1 | 2018 |
| Correction: Understanding the patterns that neural networks learn from chemical spectra LH Rieger, M Wilson, T Vegge, E Flores Digital Discovery 3 (3), 610-610, 2024 | | 2024 |
| Understanding the patterns that neural networks learn from chemical spectra LH Rieger, M Wilson, T Vegge, E Flores Digital Discovery 2 (6), 1957-1968, 2023 | | 2023 |
| Technical Report TR–2018–03 R Serban, M Wilson, M Benedetti, J Realpe-Gomez, A Perdomo-Ortiz, ... | | 2018 |
