| Quantum optimization: Potential, challenges, and the path forward A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... arXiv preprint arXiv:2312.02279, 2023 | 112 | 2023 |
| Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage S Mensa, E Sahin, F Tacchino, P Kl Barkoutsos, I Tavernelli Machine Learning: Science and Technology 4 (1), 015023, 2023 | 60 | 2023 |
| Challenges and opportunities in quantum optimization A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... Nature Reviews Physics, 1-18, 2024 | 31 | 2024 |
| A Practitioner's Guide to Quantum Algorithms for Optimisation Problems BCB Symons, D Galvin, E Sahin, V Alexandrov, S Mensa Journal of Physics A: Mathematical and Theoretical 56 (45), 2023 | 25 | 2023 |
| A quantum computing implementation of nuclearelectronic orbital (NEO) theory: Toward an exact pre-Born–Oppenheimer formulation of molecular quantum systems A Kovyrshin, M Skogh, A Broo, S Mensa, E Sahin, J Crain, I Tavernelli The Journal of Chemical Physics 158 (21), 2023 | 8 | 2023 |
| Efficient parameter optimisation for quantum kernel alignment: A sub-sampling approach in variational training ME Sahin, BCB Symons, P Pati, F Minhas, D Millar, M Gabrani, S Mensa, ... Quantum 8, 1502, 2024 | 5 | 2024 |
| Nonadiabatic nuclear-electron dynamics: a quantum computing approach A Kovyrshin, M Skogh, L Tornberg, A Broo, S Mensa, E Sahin, ... The Journal of Physical Chemistry Letters 14 (31), 7065-7072, 2023 | 5 | 2023 |
| How can quantum computing be applied in clinical trial design and optimization? H Doga, A Bose, ME Sahin, J Bettencourt-Silva, A Pham, E Kim, ... Trends in Pharmacological Sciences, 2024 | 4 | 2024 |
| Toward Accurate Post-Born–Oppenheimer Molecular Simulations on Quantum Computers: An Adaptive Variational Eigensolver with Nuclear-Electronic Frozen Natural Orbitals A Nykänen, A Miller, W Talarico, S Knecht, A Kovyrshin, M Skogh, ... Journal of Chemical Theory and Computation 19 (24), 9269-9277, 2023 | 3 | 2023 |
| Usability of Markov chain Monte Carlo preconditioners in practical problems E Sahin, A Lebedev, M Abaļenkovs, V Alexandrov 2021 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale …, 2021 | 3 | 2021 |
| Empirical Analysis of Stochastic Methods of Linear Algebra ME Şahin, A Lebedev, V Alexandrov International Conference on Computational Science, 539-549, 2020 | 2 | 2020 |
| An Educational and Training Perspective on Integrating Hybrid Technologies with HPC Systems for Solving Real-World Commercial Problems S Mensa, E Sahin, G Williamson, RJ Allan Journal of Computational Science 14 (1), 2023 | 1 | 2023 |
| Quantum Computing for Natural Sciences: Technology and Applications S Mensa, F Tacchino, M Motta, E Sahin, S Knecht IEEE International Conference on Quantum Computing and Engineering, 2023 | | 2023 |
| A Bayesian Optimization Through Sequential Monte Carlo and Statistical Physics-Inspired Techniques A Lebedev, ME Şahin, T Warford International Conference on Computational Science, 621-628, 2023 | | 2023 |
Stefano MensaSTFC Hartree CentreVahvistettu sähköpostiosoite verkkotunnuksessa stfc.ac.uk