Frank pollmann
Affiliations: | TUM - TU München |
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| Liu YJ, Smith A, Knap M, et al. (2023) Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks. Physical Review Letters. 130: 220603 |
| Kohlert T, Scherg S, Sala P, et al. (2023) Exploring the Regime of Fragmentation in Strongly Tilted Fermi-Hubbard Chains. Physical Review Letters. 130: 010201 |
| Sompet P, Hirthe S, Bourgund D, et al. (2022) Realizing the symmetry-protected Haldane phase in Fermi-Hubbard ladders. Nature |
| Scherg S, Kohlert T, Sala P, et al. (2021) Observing non-ergodicity due to kinetic constraints in tilted Fermi-Hubbard chains. Nature Communications. 12: 4490 |
| Wybo E, Pollmann F, Sondhi SL, et al. (2021) Visualizing quasiparticles from quantum entanglement for general one-dimensional phases Physical Review B. 103 |
| Elben A, Yu J, Zhu G, et al. (2020) Many-body topological invariants from randomized measurements in synthetic quantum matter. Science Advances. 6: eaaz3666 |
| Zaletel MP, Pollmann F. (2020) Isometric Tensor Network States in Two Dimensions. Physical Review Letters. 124: 037201 |
| Sala P, Rakovszky T, Verresen R, et al. (2020) Ergodicity Breaking Arising from Hilbert Space Fragmentation in Dipole-Conserving Hamiltonians Physical Review X. 10 |
| You Y, Bibo J, Pollmann F. (2020) Higher-order entanglement and many-body invariants for higher-order topological phases Physical Review Research. 2 |
| Wybo E, Knap M, Pollmann F. (2020) Entanglement dynamics of a many-body localized system coupled to a bath Physical Review B. 102 |