耦合簇下折叠理论:化学和材料科学中复合量子系统降维的通用多体算法

Nicholas P. Bauman, Karol Kowalski
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引用次数: 12

摘要

最近引入的用于降低量子多体问题维数的耦合簇(CC)下折叠技术以重整化过程的形式重新塑造了CC形式,允许在整个希尔伯特空间的小维子空间(通常等同于所谓的活动空间)中构造有效(或下折叠)哈密顿量。由此得到的下折叠哈密顿量从波函数的内部(活动空间内)参数中积分出外部(活动空间外)费米子自由度,这些参数可以确定为活动空间中下折叠哈密顿量的特征向量的组成部分。本文将讨论将非厄米(与标准CC公式相关)和厄米(与统一CC方法相关)下折叠公式扩展到材料科学和化学中常见的复合量子系统。非厄米公式可以为开发局部CC方法提供一个平台,而厄米公式可以作为基于有限量子资源开发各种量子计算应用的理想基础。我们还讨论了在活动空间中提取电子间相互作用的半解析形式的算法。
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Coupled Cluster Downfolding Theory: towards universal many-body algorithms for dimensionality reduction of composite quantum systems in chemistry and materials science

The recently introduced coupled cluster (CC) downfolding techniques for reducing the dimensionality of quantum many-body problems recast the CC formalism in the form of the renormalization procedure allowing, for the construction of effective (or downfolded) Hamiltonians in small-dimensionality sub-space, usually identified with the so-called active space, of the entire Hilbert space. The resulting downfolded Hamiltonians integrate out the external (out-of-active-space) Fermionic degrees of freedom from the internal (in-the-active-space) parameters of the wave function, which can be determined as components of the eigenvectors of the downfolded Hamiltonians in the active space. This paper will discuss the extension of non-Hermitian (associated with standard CC formulations) and Hermitian (associated with the unitary CC approaches) downfolding formulations to composite quantum systems commonly encountered in materials science and chemistry. The non-Hermitian formulation can provide a platform for developing local CC approaches, while the Hermitian one can serve as an ideal foundation for developing various quantum computing applications based on the limited quantum resources. We also discuss the algorithm for extracting the semi-analytical form of the inter-electron interactions in the active spaces.

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期刊介绍: Journal of Materials Science: Materials Theory publishes all areas of theoretical materials science and related computational methods. The scope covers mechanical, physical and chemical problems in metals and alloys, ceramics, polymers, functional and biological materials at all scales and addresses the structure, synthesis and properties of materials. Proposing novel theoretical concepts, models, and/or mathematical and computational formalisms to advance state-of-the-art technology is critical for submission to the Journal of Materials Science: Materials Theory. The journal highly encourages contributions focusing on data-driven research, materials informatics, and the integration of theory and data analysis as new ways to predict, design, and conceptualize materials behavior.
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