Critical behavior of the quantum contact process in one dimension F Carollo, E Gillman, H Weimer, I Lesanovsky
Physical review letters 123 (10), 100604, 2019
49 2019 Quantum backflow states from eigenstates of the regularized current operator JJ Halliwell, E Gillman, O Lennon, M Patel, I Ramirez
Journal of Physics A: Mathematical and Theoretical 46 (47), 475303, 2013
32 2013 Numerical simulation of critical dissipative non-equilibrium quantum systems with an absorbing state E Gillman, F Carollo, I Lesanovsky
New Journal of Physics 21 (9), 093064, 2019
27 2019 Nonequilibrium Phase Transitions in ( E Gillman, F Carollo, I Lesanovsky
Physical Review Letters 125 (10), 100403, 2020
22 2020 Numerical simulation of quantum nonequilibrium phase transitions without finite-size effects E Gillman, F Carollo, I Lesanovsky
Physical Review A 103 (4), L040201, 2021
12 2021 Quantum and Classical Temporal Correlations in E Gillman, F Carollo, I Lesanovsky
Physical Review Letters 127 (23), 230502, 2021
10 2021 Topological defects in quantum field theory with matrix product states E Gillman, A Rajantie
Physical Review D 96 (9), 094509, 2017
9 2017 Kibble Zurek mechanism of topological defect formation in quantum field theory with matrix product states E Gillman, A Rajantie
Physical Review D 97 (9), 094505, 2018
7 2018 Asynchronism and nonequilibrium phase transitions in E Gillman, F Carollo, I Lesanovsky
Physical Review E 106 (3), L032103, 2022
5 2022 Using E Gillman, F Carollo, I Lesanovsky
Physical Review E 107 (2), L022102, 2023
4 2023 A tensor network approach to finite markov decision processes E Gillman, DC Rose, JP Garrahan
arXiv preprint arXiv:2002.05185, 2020
3 2020 Modelling Nature: An Introduction to Mathematical Modelling of Natural Systems E Gillman, M Gillman
CABI, 2019
2 2019 Reinforcement Learning with Tensor Networks: Application to Dynamical Large Deviations E Gillman, DC Rose, JP Garrahan
arXiv preprint arXiv:2209.14089, 2022
2022 Topological Defect Formation in Quantum Phase Transitions E Gillman
Imperial College London, 2018
2018 Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations E Gillman, DC Rose, JP Garrahan
Physical Review Letters, 0
Igor LesanovskyUniversität TübingenBestätigte E-Mail-Adresse bei uni-tuebingen.de
