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Bibliographic Details
Main Authors: Tonne, M. P., Gnatenko, Kh. P.
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2601.10650
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author Tonne, M. P.
Gnatenko, Kh. P.
author_facet Tonne, M. P.
Gnatenko, Kh. P.
contents The entanglement distance of evolutionary quantum states of a two-spin system with the XXZ model has been studied. The analysis has been conducted both analytically and using quantum computing. An analytical dependence of the entanglement distance on the values of the model coupling constants and the parameters of the initial states has been obtained. The speed of evolution of a two-spin system has been investigated. The analysis has been performed analytically and using quantum computing. An explicit dependence of the speed of evolution on the coupling constants and on the parameters of the initial state has been obtained. The results of quantum computations are in good agreement with the theoretical predictions.
format Preprint
id arxiv_https___arxiv_org_abs_2601_10650
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Quantifying the properties of evolutionary quantum states of the XXZ spin model using quantum computing
Tonne, M. P.
Gnatenko, Kh. P.
Quantum Physics
The entanglement distance of evolutionary quantum states of a two-spin system with the XXZ model has been studied. The analysis has been conducted both analytically and using quantum computing. An analytical dependence of the entanglement distance on the values of the model coupling constants and the parameters of the initial states has been obtained. The speed of evolution of a two-spin system has been investigated. The analysis has been performed analytically and using quantum computing. An explicit dependence of the speed of evolution on the coupling constants and on the parameters of the initial state has been obtained. The results of quantum computations are in good agreement with the theoretical predictions.
title Quantifying the properties of evolutionary quantum states of the XXZ spin model using quantum computing
topic Quantum Physics
url https://arxiv.org/abs/2601.10650