arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1906.00463cond-mat.str-elcond-mat.dis-nn
收藏

神经Gutzwiller投影变分波函数

Neural Gutzwiller-projected variational wave functions

Francesco Ferrari, Federico Becca, Juan Carrasquilla

摘要:

变分波函数已经使与理解物质的新相有关的特殊科学突破成为可能。例子包括巴丁-库珀-施里弗超导理论,通过劳克林态描述分数量子霍尔效应,以及费曼对液氦中大尺度量子效应的变分理解。最近,Gutzwiller投影波函数,通常从费米子自由度构造,已被用来检查量子自旋模型中存在的竞争相互作用,其中没有自发对称性破缺和分数激发的奇异相可能存在。在这项工作中,我们研究了上述的费米子波函数补充神经网络,特别是与所谓的限制玻尔兹曼机(RBM),以提高其准确性,并获得可靠的近似通用自旋模型的基态。特别是,我们将我们的神经增强费米子结构的磁有序和无序相的描述日益复杂,包括基态显示非平凡的符号结构的情况下。尽管RBM态对具有特别简单符号结构的Néel态更为有效,但它在预期具有复杂符号结构的高度阻挫区域中提供了对原始费米子态的显着改进,从而通过神经Gutzwiller投影变分波函数为理解晶格上的强相关自旋模型开辟了道路。

英文摘要:

Variational wave functions have enabled exceptional scientific breakthroughs related to the understanding of novel phases of matter. Examples include the Bardeen-Cooper-Schrieffer theory of superconductivity, the description of the fractional quantum Hall effect through the Laughlin state, and Feynman's variational understanding of large-scale quantum effects in liquid Helium. More recently, Gutzwiller-projected wave functions, typically constructed from fermionic degrees of freedom, have been employed to examine quantum spin models in the presence of competing interactions, where exotic phases with no spontaneous symmetry breaking and fractional excitations may exist. In this work, we investigate the aforementioned fermionic wave functions supplemented with neural networks, specifically with the so-called restricted Boltzmann machine (RBM), to boost their accuracy and obtain reliable approximations to the ground state of generic spin models. In particular, we apply our neural augmented fermionic construction to the description of both magnetically ordered and disordered phases of increasing complexity, including cases where the ground state displays a non-trivial sign structure. Even though the RBM state is by far more effective for Néel states endowed with a particularly simple sign structure, it provides a significant improvement over the original fermionic state in highly frustrated regimes where a complex sign structure is anticipated, thus marking the path to an understanding of strongly-correlated spin models on the lattice via neural Gutzwiller-projected variational wave functions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑