Gaussian process states: A data-driven representation of quantum many-body physics A Glielmo*, Y Rath*, G Csányi, A De Vita, GH Booth Physical Review X 10 (4), 041026, 2020 | 26 | 2020 |
A Bayesian inference framework for compression and prediction of quantum states Y Rath, A Glielmo, GH Booth The Journal of chemical physics 153 (12), 2020 | 16 | 2020 |
Quantum Gaussian process state: A kernel-inspired state with quantum support data Y Rath, GH Booth Physical Review Research 4 (2), 023126, 2022 | 12 | 2022 |
Framework for efficient ab initio electronic structure with Gaussian Process States Y Rath, GH Booth Physical Review B 107 (20), 205119, 2023 | 11 | 2023 |
Prominent interference peaks in the dephasing Anderson model Y Rath, F Mintert Physical Review Research 2 (2), 023161, 2020 | 5 | 2020 |
Impact of conditional modelling for a universal autoregressive quantum state M Bortone, Y Rath, GH Booth Quantum 8, 1245, 2024 | 2 | 2024 |
Fast characterization of multiplexed single-electron pumps with machine learning N Schoinas*, Y Rath*, S Norimoto, W Xie, P See, JP Griffiths, C Chen, ... arXiv preprint arXiv:2405.20946, 2024 | 1 | 2024 |
Simple Fermionic backflow states via a systematically improvable tensor decomposition M Bortone, Y Rath, GH Booth arXiv preprint arXiv:2407.11779, 2024 | | 2024 |
Characterizing frequency fluctuations induced non-Markovian noise in superconducting qubits A Agarwal, L Lindoy, Y Rath, D Lall, I Rungger Bulletin of the American Physical Society, 2024 | | 2024 |
Interpolating many-body wave functions for accelerated molecular dynamics on near-exact electronic surfaces Y Rath, GH Booth arXiv preprint arXiv:2402.11097, 2024 | | 2024 |
Fast and accurate nonadiabatic molecular dynamics enabled through variational interpolation of correlated electron wavefunctions K Atalar, Y Rath, R Crespo-Otero, GH Booth Faraday Discussions, 2024 | | 2024 |
Bayesian Modelling Approaches for Quantum States - The Ultimate Gaussian Process States Handbook Y Rath King's College London, 2023 | | 2023 |