Investigating Quantum Entanglement and Magnetic Properties in a Nanotube Ising Model for Quantum Information Processing

This study investigates the magnetic properties and quantum correlations of a mixed-spin Ising nanotube with a core-shell architecture [Formula: see text], emphasizing its potential for quantum information processing. Using Monte Carlo simulations (MCS) and Mean-Field Theory (MFT), we examine the influence of longitudinal anisotropy—modeled through the crystal field—and exchange coupling parameters on the system’s phase transitions. Our results reveal that geometric frustration within the core-shell interface significantly modulates the magnetic susceptibility and the occurrence of compensation points. Crucially, we identify a regime where quantum entanglement is maximized near the critical temperature [Formula: see text], where thermal and quantum fluctuations converge. By mapping these stability regions, we demonstrate that such nanostructured systems can serve as robust blueprints for maintaining coherence in qubit architectures. This work bridges the gap between statistical mechanics of spin systems and the practical requirements of scalable quantum computing.

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Publication Details

Journal
SPIN
Published
2026-07-24
DOI
https://doi.org/10.1142/s2010324726500128
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Investigating Quantum Entanglement and Magnetic Properties in a Nanotube Ising Model for Quantum Information Processing

T. Akroud, A. Elidrysy, S. Harir, F.Z. Krimech
SPIN
Quantum Computing Algorithms and Architecture
article

Investigating Quantum Entanglement and Magnetic Properties in a Nanotube Ising Model for Quantum Information Processing

T. Akroud, A. Elidrysy, S. Harir, F.Z. Krimech
article en

Abstract

This study investigates the magnetic properties and quantum correlations of a mixed-spin Ising nanotube with a core-shell architecture [Formula: see text], emphasizing its potential for quantum information processing. Using Monte Carlo simulations (MCS) and Mean-Field Theory (MFT), we examine the influence of longitudinal anisotropy—modeled through the crystal field—and exchange coupling parameters on the system’s phase transitions. Our results reveal that geometric frustration within the core-shell interface significantly modulates the magnetic susceptibility and the occurrence of compensation points. Crucially, we identify a regime where quantum entanglement is maximized near the critical temperature [Formula: see text], where thermal and quantum fluctuations converge. By mapping these stability regions, we demonstrate that such nanostructured systems can serve as robust blueprints for maintaining coherence in qubit architectures. This work bridges the gap between statistical mechanics of spin systems and the practical requirements of scalable quantum computing.

SPIN
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Quantum Computing Algorithms and Architecture
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Investigating Quantum Entanglement and Magnetic Properties in a Nanotube Ising Model for Quantum Information Processing — T. Akroud, A. Elidrysy, et al. · SPIN (2026) | TGRS Research Map | TGRS