Simulating Quantum Information Processing using Heisenberg Spin Chains with Finite Size Effects

Qubit computing leverages qubit entanglement and superposition to perform complex computations. Spin-1/2 A key component of hardware simulation based on qubits is Heisenberg models. In this work, we model gate operations and memory switching in spin chains. Energy spectra and spin gaps are extracted using diagonalization techniques. We compare simulated dynamics with experimental results from materials such as Sr₂Cu(PO₄)₂. Our findings are consistent with gap and experimental susceptibility data. Various J₂/J₁ ratios are used to assess finite-length effects. We describe critical gap behaviour, memory transitions, and freezing behaviour. Scalable architectures using low-dimensional spin systems are guided by these results. Additionally, the results support theories proposed in recent work on quantum hardware (Bishop et al., 2008; Belik et al., 2005). We introduce reversible pulse-controlled retention mechanism in Heisenberg spin chains; a feature not explored in earlier models.

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Publication Details

Journal
Journal of Emerging Technologies and Innovative Research
Published
2025-01-01
DOI
https://doi.org/10.56975/jetir.v12i9.569161
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

Simulating Quantum Information Processing using Heisenberg Spin Chains with Finite Size Effects

Vipin Kumar, Jagadish Godara
Journal of Emerging Technologies and Innovative Research
Quantum Computing Algorithms and Architecture
article

Simulating Quantum Information Processing using Heisenberg Spin Chains with Finite Size Effects

Vipin Kumar, Jagadish Godara
article en

Abstract

Qubit computing leverages qubit entanglement and superposition to perform complex computations. Spin-1/2 A key component of hardware simulation based on qubits is Heisenberg models. In this work, we model gate operations and memory switching in spin chains. Energy spectra and spin gaps are extracted using diagonalization techniques. We compare simulated dynamics with experimental results from materials such as Sr₂Cu(PO₄)₂. Our findings are consistent with gap and experimental susceptibility data. Various J₂/J₁ ratios are used to assess finite-length effects. We describe critical gap behaviour, memory transitions, and freezing behaviour. Scalable architectures using low-dimensional spin systems are guided by these results. Additionally, the results support theories proposed in recent work on quantum hardware (Bishop et al., 2008; Belik et al., 2005). We introduce reversible pulse-controlled retention mechanism in Heisenberg spin chains; a feature not explored in earlier models.

Journal of Emerging Technologies and Innovative ResearchVol. 12(9)
Openalex Percentile: Top 87%
Quantum Computing Algorithms and Architecture
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Simulating Quantum Information Processing using Heisenberg Spin Chains with Finite Size Effects — Vipin Kumar, Jagadish Godara · Journal of Emerging Technologies and Innovative Research (2025) | TGRS Research Map | TGRS