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arXiv 2406.19683quant-ph
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计算凸顶资源度量的统一框架

Unified Framework for Calculating Convex Roof Resource Measures

Xuanran Zhu, Chao Zhang, Zheng An, Bei Zeng

AI总结:

本文提出将凸顶资源度量计算转化为Stiefel流形优化并经极投影无约束化的统一框架,在纠缠、相干性和magic states上验证了更高效率与广泛适用性。

摘要:

量子资源理论(QRTs)为分析各种量子现象提供了一个全面且实用的框架。QRTs中的一项基本任务是量化给定量子态中固有的资源。在这封信中,我们针对一类由凸顶扩展导出、被广泛使用的量子资源度量,引入了一个统一的计算框架。我们证明,这些凸顶资源度量的计算可以重新表述为Stiefel流形上的优化问题,并可进一步通过极投影转化为无约束问题。与采用半定规划(SDP)、基于梯度的技术或seesaw策略的现有方法相比,我们的方法不仅表现出更高的计算效率,而且能够在简化的工作流程中保持对多种场景的适用性。我们通过将该方法应用于若干关键量子资源(包括纠缠、相干性和magic states)来证实其有效性。此外,我们的方法可以方便地扩展到资源理论领域之外的其他凸顶量,表明其在量子信息理论领域具有广泛的适用性。

英文摘要:

Quantum resource theories (QRTs) provide a comprehensive and practical framework for the analysis of diverse quantum phenomena. A fundamental task within QRTs is the quantification of resources inherent in a given quantum state. In this letter, we introduce a unified computational framework for a class of widely utilized quantum resource measures, derived from convex roof extensions. We establish that the computation of these convex roof resource measures can be reformulated as an optimization problem over a Stiefel manifold, which can be further unconstrained through polar projection. Compared to existing methods employing semi-definite programming (SDP), gradient-based techniques or seesaw strategy, our approach not only demonstrates superior computational efficiency but also maintains applicability across various scenarios within a streamlined workflow. We substantiate the efficacy of our method by applying it to several key quantum resources, including entanglement, coherence, and magic states. Moreover, our methodology can be readily extended to other convex roof quantities beyond the domain of resource theories, suggesting broad applicability in the realm of quantum information theory.

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。

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