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Probing Off-diagonal Eigenstate Thermalization with Tensor Networks

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Luo,  Maxine
Theory, Max Planck Institute of Quantum Optics, Max Planck Society;
MCQST - Munich Center for Quantum Science and Technology, External Organizations;
IMPRS (International Max Planck Research School), Max Planck Institute of Quantum Optics, Max Planck Society;

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Trivedi,  Rahul       
Theory, Max Planck Institute of Quantum Optics, Max Planck Society;
MCQST - Munich Center for Quantum Science and Technology, External Organizations;

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Bañuls,  Mari Carmen
Theory, Max Planck Institute of Quantum Optics, Max Planck Society;
MCQST - Munich Center for Quantum Science and Technology, External Organizations;

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Cirac,  J. Ignacio       
Theory, Max Planck Institute of Quantum Optics, Max Planck Society;
MCQST - Munich Center for Quantum Science and Technology, External Organizations;

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Citation

Luo, M., Trivedi, R., Bañuls, M. C., & Cirac, J. I. (2024). Probing Off-diagonal Eigenstate Thermalization with Tensor Networks. Physical Review B, 109: 134304. doi:10.1103/PhysRevB.109.134304.


Cite as: https://hdl.handle.net/21.11116/0000-000E-4853-4
Abstract
Energy filter methods in combination with quantum simulation can efficiently
access the properties of quantum many-body systems at finite energy densities
[Lu et al. PRX Quantum 2, 020321 (2021)]. Classically simulating this algorithm
with tensor networks can be used to investigate the microcanonical properties
of large spin chains, as recently shown in [Yang et al. Phys. Rev. B 106,
024307 (2022)]. Here we extend this strategy to explore the properties of
off-diagonal matrix elements of observables in the energy eigenbasis,
fundamentally connected to the thermalization behavior and the eigenstate
thermalization hypothesis. We test the method on integrable and non-integrable
spin chains of up to 60 sites, much larger than accessible with exact
diagonalization. Our results allow us to explore the scaling of the
off-diagonal functions with the size and energy difference, and to establish
quantitative differences between integrable and non-integrable cases