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  Probing Off-diagonal Eigenstate Thermalization with Tensor Networks

Luo, M., Trivedi, R., Bañuls, M. C., & Cirac, J. I. (submitted). Probing Off-diagonal Eigenstate Thermalization with Tensor Networks.

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Genre: Preprint
Alternative Title : Preprint arXiv: 2312.00736 Submitted on 1 Dec 2023

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 Creators:
Luo, Maxine1, 2, Author           
Trivedi, Rahul1, 2, Author                 
Bañuls, Mari Carmen1, 2, Author           
Cirac, J. Ignacio1, 2, Author                 
Affiliations:
1Theory, Max Planck Institute of Quantum Optics, Max Planck Society, ou_1445571              
2MCQST - Munich Center for Quantum Science and Technology, External Organizations, ou_3330166              

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Free keywords: Quantum Physics, quant-ph
 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

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Language(s): eng - English
 Dates: 2024-01-172023-12-01
 Publication Status: Submitted
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 2312.00736v1
 Degree: -

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Project name : SFB-TRR360
Grant ID : -
Funding program : Germany’s Excellence Strategy – EXC-2111 – 390814868
Funding organization : Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
Project name : EU-QUANTERA project TNiSQ (BA 6059/1-1)
Grant ID : -
Funding program : -
Funding organization : European Commission (EC)

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