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提出一种关于二维反铁磁Heisenberg模型(AFMH)的Monte Carlo模拟新方法。该方法避免了对于相应三维经典自旋系统作模拟计算时的禁态问题和阻错困难。研究还表明,该方法在整个温度区域内的取样迭代效率高,克服了在连续极限下的临界慢化现象,使之能够在更低的温度下进行AFMH的数值研究。We develop a new type of cluster algorithm that strongly reduces the critical slowing down and the frustration effect in Monte Carlo simulations of the 2D quantum antiferro-magnet Heisenberg model (AFMH). The results obtained show that the method can be applied efficiently for the study of the 2D AFMH at lower temperatures.
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