Projects per year
Abstract
Dynamical quantum phase transitions are at the forefront of current efforts to understand quantum matter out of equilibrium. Except for a few exactly solvable models, predictions of these critical phenomena typically rely on advanced numerical methods. However, those approaches are mostly restricted to one dimension, making investigations of two-dimensional systems highly challenging. Here, we present evidence of dynamical quantum phase transitions in strongly correlated spin lattices in two dimensions. To this end, we apply our recently developed cumulant method [Phys. Rev. X11, 041018 (2021)] to determine the zeros of the Loschmidt amplitude in the complex plane of time, and we predict the crossing points of the thermodynamic lines of zeros with the real-time axis, where dynamical quantum phase transitions occur. We find the critical times of a two-dimensional quantum Ising lattice and the XYZ model with ferromagnetic or antiferromagnetic couplings. We also show how dynamical quantum phase transitions can be predicted by measuring the initial energy fluctuations, for example in quantum simulators or other engineered quantum systems.
Original language | English |
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Article number | 033032 |
Pages (from-to) | 1-6 |
Number of pages | 6 |
Journal | PHYSICAL REVIEW RESEARCH |
Volume | 4 |
Issue number | 3 |
DOIs | |
Publication status | Published - 13 Jul 2022 |
MoE publication type | A1 Journal article-refereed |
Keywords
- EQUILIBRIUM
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Flat bands and disorder: Flat bands and disorder
Peotta, S. (Principal investigator)
01/09/2020 → 31/08/2025
Project: Academy of Finland: Other research funding
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AoF_post doc _Brange: Lee-Yang theory of phase transitions in interacting quantum many-body systems
Norrman Brange, F. (Principal investigator)
01/09/2020 → 31/08/2023
Project: Academy of Finland: Other research funding
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Peotta Sebastiano AT-kulut
Peotta, S. (Principal investigator), Swaminathan, K. (Project Member) & Tadros, P. (Project Member)
01/09/2020 → 31/08/2023
Project: Academy of Finland: Other research funding