Reconfigurable logical stochastic resonance in a hyperbolic one-site lattice with variable-barrier potential

Reconfigurable logical stochastic resonance in a hyperbolic one-site lattice with variable-barrier potential
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DOI:
10.1016/j.rinp.2023.106469
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发表时间:
2023-04
期刊:
影响因子:
5.3
通讯作者:
Zhiqiang Liao;Keying Huang;Siyi Tang;H. Yamahara;M. Seki;H. Tabata
Zhiqiang Liao;Keying Huang;Siyi Tang;H. Yamahara;M. Seki;H. Tabata
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Zhiqiang Liao;Keying Huang;Siyi Tang;H. Yamahara;M. Seki;H. Tabata

文献摘要

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逻辑随机共振(LSR)系统是一种利用特定的非线性特性,在背景噪声存在的情况下能够执行鲁棒的可重构逻辑运算的物理系统。传统的LSR系统通常基于多项式非线性,这使得它们适合于由电子组件实现。然而,有很少的研究LSR系统的双曲非线性的基础上,有可能实现直接使用材料的物理性质。受声子非线性激发的扭折承载势的启发,我们首次提出了一个基于双曲单格点(HOL)的LSR系统。研究了HOL-LSR系统在无噪声和有噪声两种情况下的性能。此外,在仿生优化器的辅助下,我们比较了在高斯白色噪声和Lévy脉冲的影响下,HOL-LSR和传统的四稳态LSR(QLSR)系统的性能.结果表明,在HOL-LSR系统中存在参数诱导的LSR效应。此外,在仅有高斯白色噪声的情况下,HOL-LSR和QLSR系统的性能是相当的。然而,当背景噪声包含脉冲成分时,HOL-LSR系统的鲁棒性明显强于QLSR系统。这些结果证明了HOL-LSR体系相对于传统LSR体系的优越性,并鼓励直接基于双曲线材料构建LSR体系。
Logical stochastic resonance (LSR) system is a physical system capable of performing robust reconfigurable logical operations in the presence of background noise using specific nonlinearities. Traditional LSR systems are typically based on polynomial nonlinearities, which make them suitable for implementation by electronic components. However, there has been little research on LSR systems based on hyperbolic nonlinearities which have the potential to be realized directly using the physical properties of materials. Inspired by the kink-bearing potential related to phonon nonlinear excitation, we propose an LSR system based on a hyperbolic one-site lattice (HOL) for the first time in this study. The performance of the HOL-based LSR (HOL-LSR) system is investigated under both noise-free and noisy conditions. Moreover, assisted by a bionic optimizer, we compare the performance of the proposed HOL-LSR and traditional quadstable LSR (QLSR) system under the influence of Gaussian white noise and Lévy pulse. The results demonstrate the existence of parameter-induced LSR effects in the HOL-LSR system. In addition, with only Gaussian white noise, the performance of the HOL-LSR and QLSR systems is comparable. However, when the background noise contains pulse components, the robustness of the HOL-LSR system is significantly stronger than that of the QLSR system. These results prove the superiority of HOL-LSR system over traditional LSR and encourage the construction of LSR systems directly based on material with hyperbolic property.