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Monte carlo studies for strong correlations in hubbard-type models

机译:Monte Carlo在Hubbard型模型中的相关性研究

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The tight-binding model with repulsive Hubbard interactions represents an ideal prototype for the study of strong correlations. While exact numerical methods have been used with some success, they are typically limited by the size of the clusters that can be investigated or by the temperatures that can be reached. Variational methods, on the other hand, often require considerable advance knowledge of ground-state properties. The method presented here alleviates this problem by augmenting the variational approach with a scheme similar to Lanczos iterations thus bridging the gap between exact diagonalization and variational approaches. For the t-J model, the low-energy effective Hamiltonian of the Hubbard model, material properties like broken translational invariance or superconducting correlations are then investigated and a region of stability of a superconducting phase is found.
机译:具有排斥性喧哗交互的紧密绑定模型代表了研究强相关的理想原型。虽然已经成功使用了精确的数值方法,但它们通常受到可以研究或可以通过可以达到的温度的簇的尺寸限制。另一方面,变分方法通常需要大量的地面特性的提前知识。这里提出的方法通过增加类似于LanczoS迭代的方案来减轻变分方法,从而弥合精确的对角化和变分方法之间的间隙。对于T-J模型,隆堡模型的低能量有效哈密顿,然后研究了像破裂的平移不变性或超导相关性等材料特性,并发现了超导相的稳定性区域。

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