| Optimal sampling of dynamical large deviations via matrix product states L Causer, MC Bañuls, JP Garrahan Physical Review E 103 (6), 062144, 2021 | 31 | 2021 |
| Finite time large deviations via matrix product states L Causer, MC Banuls, JP Garrahan Physical Review Letters 128 (9), 090605, 2022 | 30 | 2022 |
| Dynamics and large deviation transitions of the XOR-Fredrickson-Andersen kinetically constrained model L Causer, I Lesanovsky, MC Bañuls, JP Garrahan Physical Review E 102 (5), 052132, 2020 | 30 | 2020 |
| Optimal sampling of dynamical large deviations in two dimensions via tensor networks L Causer, MC Bañuls, JP Garrahan Physical Review Letters 130 (14), 147401, 2023 | 14 | 2023 |
| Slow dynamics and large deviations in classical stochastic Fredkin chains L Causer, JP Garrahan, A Lamacraft Physical Review E 106 (1), 014128, 2022 | 13 | 2022 |
| Boundary conditions dependence of the phase transition in the quantum Newman-Moore model K Sfairopoulos, L Causer, JF Mair, JP Garrahan Physical Review B 108 (17), 174107, 2023 | 8 | 2023 |
| Scalable simulation of nonequilibrium quantum dynamics via classically optimized unitary circuits L Causer, F Jung, A Mitra, F Pollmann, A Gammon-Smith Physical Review Research 6 (3), 033062, 2024 | 5 | 2024 |
| Rejection-free quantum Monte Carlo in continuous time from transition path sampling L Causer, K Sfairopoulos, JF Mair, JP Garrahan Physical Review B 109 (2), 024307, 2024 | 2 | 2024 |
| Cellular automata in dimensions and ground states of spin models in dimensions K Sfairopoulos, L Causer, JF Mair, JP Garrahan arXiv preprint arXiv:2309.08059, 2023 | 2 | 2023 |
| Dynamical heterogeneity and large deviations in the open quantum East glass model from tensor networks L Causer, MC Bañuls, JP Garrahan arXiv preprint arXiv:2404.03750, 2024 | 1 | 2024 |
| Quantum many-body scars and non-thermal behaviour in Fredkin spin chains L Causer, MC Bañuls, JP Garrahan arXiv preprint arXiv:2403.03986, 2024 | 1 | 2024 |
| Discrete generative diffusion models without stochastic differential equations: a tensor network approach L Causer, GM Rotskoff, JP Garrahan arXiv preprint arXiv:2407.11133, 2024 | | 2024 |
| Minibatch training of neural network ensembles via trajectory sampling JF Mair, L Causer, JP Garrahan arXiv preprint arXiv:2306.13442, 2023 | | 2023 |
| Non-equilibrium dynamics and large deviations in stochastic lattice models via tensor networks L Causer University of Nottingham, 2023 | | 2023 |
Juan P. GarrahanProfessor of Physics, University of Nottingham在 nottingham.ac.uk 的电子邮件经过验证
