论文标题

简单的立方体中心和面中心的立方晶格上量子旋转液体的射击对称组分类

Projective symmetry group classifications of quantum spin liquids on the simple cubic, body centered cubic, and face centered cubic lattices

论文作者

Sonnenschein, Jonas, Chauhan, Aishwarya, Iqbal, Yasir, Reuther, Johannes

论文摘要

我们使用自旋旋转不变的弹性对称组方法对简单的立方体中心和脸部中心晶格进行$ \ mathbb {z} _2 $量子旋转液体的广泛分类。考虑到所有三个晶格共享相同的点组$ o_h $,我们应用了一个有效的量规,在该规范中,简单的立方晶格的分类可以部分传递到其他两个晶格。我们确定了三个晶格中每个晶格中的数百个投影表示形式,但是,在构造费米尼克部分(Spinons)的短距离平均场模型时,这些阶段的崩溃只有很少。我们一致地计算出所有三个晶格上的沮丧的海森堡模型的相应平均场参数,最多具有第三个邻居自旋相互作用,并讨论Spinon分散剂,基态能量和动态自旋结构因子。我们的结果表明,具有非均匀的Spinon跳跃或配对振幅的相位在能量上有利。在FCC晶格中确定了异常情况,在该晶格中,Spinon分散量最小化平均场能的特征是对互惠空间中对称性受保护的线样零模式网络。我们进一步讨论了这些阶段的特征指纹在动态自旋结构因子中,这可能有助于在未来的数值或实验研究中识别和区分它们。

We perform extensive classifications of $\mathbb{Z}_2$ quantum spin liquids on the simple cubic, body centered cubic, and face centered cubic lattices using a spin-rotation invariant fermionic projective symmetry group approach. Taking into account that all three lattices share the same point group $O_h$, we apply an efficient gauge where the classification for the simple cubic lattice can be partially carried over to the other two lattices. We identify hundreds of projective representations for each of the three lattices, however, when constructing short-range mean-field models for the fermionic partons (spinons) these phases collapse to only very few relevant cases. We self-consistently calculate the corresponding mean-field parameters for frustrated Heisenberg models on all three lattices with up to third neighbor spin interactions and discuss the spinon dispersions, ground state energies and dynamical spin structure factors. Our results indicate that phases with non-uniform spinon hopping or pairing amplitudes are energetically favored. An unusual situation is identified for the fcc lattice where the spinon dispersion minimizing the mean-field energy features a network of symmetry protected line-like zero modes in reciprocal space. We further discuss characteristic fingerprints of these phases in the dynamical spin structure factor which may help to identify and distinguish them in future numerical or experimental studies.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源