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Exploring Variational Entanglement Hamiltonians

Kind, Yanick Sebastian and Fauseweh, Benedikt (2025) Exploring Variational Entanglement Hamiltonians. [Other]

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Official URL: https://arxiv.org/abs/2505.10530

Abstract

Recent advances in analog and digital quantum-simulation platforms have enabled exploration of the spectrum of entanglement Hamiltonians via variational algorithms. In this work we analyze the convergence properties of the variationally obtained solutions and compare them to numerically exact calculations in quantum critical systems. We demonstrate that interpreting the cost functional as an integral permits the deployment of iterative quadrature schemes, thereby reducing the required number of measurements by several orders of magnitude. We further show that a modified ansatz captures deviations from the Bisognano-Wichmann form in lattice models, improves convergence, and provides a cost-function-level diagnostic for quantum phase transitions. Finally, we establish that a low cost value does not by itself guarantee convergence in trace distance. Nevertheless, it faithfully reproduces degeneracies and spectral gaps, which are essential for applications to topological phases.

Item URL in elib:https://elib.dlr.de/220250/
Document Type:Other
Title:Exploring Variational Entanglement Hamiltonians
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kind, Yanick Sebastianyanick.kind (at) dlr.dehttps://orcid.org/0009-0007-1710-3507199740071
Fauseweh, BenediktBenedikt.Fauseweh (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:15 May 2025
Journal or Publication Title:arXiv
Refereed publication:No
Open Access:Yes
DOI:10.48550/arXiv.2505.10530
Number of Pages:24
Status:Published
Keywords:Entanglement Hamiltonian, quantum-classical method, variatioal algorithm
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Quantum Computing Initiative
DLR - Program:QC SW - Software
DLR - Research theme (Project):QC - ALQU
Location: Rhein-Sieg-Kreis
Institutes and Institutions:Institute of Software Technology > High-Performance Computing
Institute of Software Technology
Deposited By: Kind, Yanick Sebastian
Deposited On:04 Dec 2025 08:52
Last Modified:15 Dec 2025 08:23

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