具有离散耦合的Hopfield模型分析

Ryuta Sasaki, T. Aonishi
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引用次数: 0

摘要

对专用于高速isin计算的硬件日益增长的需求促使人们需要确定精度如何依赖于物理资源有限的硬件实现。例如,在诸如现场可编程门阵列之类的数字硬件中,随着表示耦合强度的比特数的减少,集成伊辛自旋的密度和计算速度可以增加,而计算精度却会降低。为了优化精度和效率之间的权衡,我们必须根据表示耦合强度的比特数来估计Ising计算机器的性能变化。在本研究中,我们通过关注具有离散耦合的Hopfield模型来解决这个问题。Hopfield模型是一个典型的Ising计算模型。以往的研究用统计力学方法分析了几种非线性函数(如符号)对Hopfield模型耦合强度映射的影响,但没有详细分析耦合强度离散化的影响。本文采用复制方法推导了离散耦合Hopfield模型的阶参数方程,阐明了表示耦合强度的位数与临界存储容量之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the Hopfield Model with Discrete Coupling
Growing demand for high-speed Ising-computing-specific hardware has prompted a need for determining how the accuracy depends on a hardware implementation with physically limited resources. For instance, in digital hardware such as field-programmable gate arrays, as the number of bits representing the coupling strength is reduced, the density of integrated Ising spins and the speed of computing can be increased while the calculation accuracy becomes lower. To optimize the accuracy-efficiency trade-off, we have to estimate the change in performance of the Ising computing machine depending on the number of bits representing the coupling strength. In this study, we tackle this issue by focusing on the Hopfield model with discrete coupling. The Hopfield model is a canonical Ising computing model. Previous studies have analyzed the effect of a few nonlinear functions (e.g. sign) for mapping the coupling strength on the Hopfield model with statistical mechanics methods, but not the effect of discretization of the coupling strength in detail. Here, we derived the order parameter equations of the Hopfield model with discrete coupling by using the replica method and clarified the relationship between the number of bits representing the coupling strength and the critical memory capacity.
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