论文标题
从第一原理预测声子诱导的自旋变性：凝结物质中的巨大自旋重归化
Predicting Phonon-Induced Spin Decoherence from First Principles: Colossal Spin Renormalization in Condensed Matter
论文作者
论文摘要
对旋转破坏性的微观了解对于推进量子技术至关重要。由于原子振动（声子）引起的电子自旋分解性起着特殊的作用，因为它为基于自旋的量子设备的性能设定了固有的限制。声子诱导的自旋反应的两个主要来源 - Elliott-Yefet（EY）和Dyakonov-Perel（DP）机制具有不同的物理起源和理论治疗。在这里，我们显示了统一其建模的计算，并能够准确预测半导体中自旋松弛和进动。我们计算自旋旋转相关函数的声子切割顶点，其处理类似于QED中异常电子磁矩的计算。我们发现，顶点校正提供了固体中电子自旋动力学的巨大重新归一化，比真空中的相应校正大得多。我们的工作展示了一种对材料中旋转破坏性的定量分析的一般方法，从而促进了对基于自旋的量子技术的追求。
Developing a microscopic understanding of spin decoherence is essential to advancing quantum technologies. Electron spin decoherence due to atomic vibrations (phonons) plays a special role as it sets an intrinsic limit to the performance of spin-based quantum devices. Two main sources of phonon-induced spin decoherence - the Elliott-Yafet (EY) and Dyakonov-Perel (DP) mechanisms - have distinct physical origins and theoretical treatments. Here we show calculations that unify their modeling and enable accurate predictions of spin relaxation and precession in semiconductors. We compute the phonon-dressed vertex of the spin-spin correlation function, with a treatment analogous to the calculation of the anomalous electron magnetic moment in QED. We find that the vertex correction provides a giant renormalization of the electron spin dynamics in solids, greater by many orders of magnitude than the corresponding correction in vacuum. Our work demonstrates a general approach for quantitative analysis of spin decoherence in materials, advancing the quest for spin-based quantum technologies.
