统一框架的匹配门经典阴影

IF 6.6 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Valentin Heyraud, Héloise Chomet, Jules Tilly
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引用次数: 0

摘要

估计量子费米子的性质是电子系统研究中一项计算困难但又至关重要的任务。最近的发展已经开始通过引入依赖于费米子高斯酉元(FGUs)采样的经典阴影协议来解决这一挑战:费米子空间中的一类变换可以方便地映射到匹配门电路。文献中提出的不同协议使用了可与fgu相关联的正交群O(2n)的不同子集成。我们提出了一种统一这些不同协议的方法,证明了它们的等价性,并从中推导出最优采样方案。我们首先证明与SO(2n)相关的FGU系综的前三个矩及其与Clifford群的交集是相等的,推广了已知的O(2n)的结果,并解决了以前工作中提出的问题。在此证明的基础上,我们建立了在文献中分析的FGU集成产生的阴影协议之间的等效性。最后,根据我们的结果,我们提出了一种匹配门电路的小子集成的采样方案,该方案在门数方面是最优的,并且继承了先前集成的性能保证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unified framework for matchgate classical shadows

Unified framework for matchgate classical shadows

Estimating quantum fermionic properties is a computationally difficult yet crucial task for the study of electronic systems. Recent developments have begun to address this challenge by introducing classical shadows protocols relying on sampling of Fermionic Gaussian Unitaries (FGUs): a class of transformations in fermionic space which can be conveniently mapped to matchgates circuits. The different protocols proposed in the literature use different sub-ensembles of the orthogonal group O(2n) to which FGUs can be associated. We propose an approach that unifies these different protocols, proving their equivalence, and deriving from it an optimal sampling scheme. We begin by demonstrating that the first three moments of the FGU ensemble associated with SO(2n) and of its intersection with the Clifford group are equal, generalizing a result known for O(2n) and addressing a question raised in previous works. Building on this proof, we establish the equivalence between the shadows protocols resulting from FGU ensembles analyzed in the literature. Finally, from our results, we propose a sampling scheme for a small sub-ensemble of matchgates circuits that is optimal in terms of number of gates and that inherits the performances guarantees of the previous ensembles.

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来源期刊
npj Quantum Information
npj Quantum Information Computer Science-Computer Science (miscellaneous)
CiteScore
13.70
自引率
3.90%
发文量
130
审稿时长
29 weeks
期刊介绍: The scope of npj Quantum Information spans across all relevant disciplines, fields, approaches and levels and so considers outstanding work ranging from fundamental research to applications and technologies.
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