Interferometry of quantum correlation functions to access quasiprobability distribution of work

IF 6.6 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Santiago Hernández-Gómez, Takuya Isogawa, Alessio Belenchia, Amikam Levy, Nicole Fabbri, Stefano Gherardini, Paola Cappellaro
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引用次数: 0

Abstract

The Kirkwood-Dirac quasiprobability distribution, intimately connected with the quantum correlation function of two observables measured at distinct times, is becoming increasingly relevant for fundamental physics and quantum technologies. This quasiprobability distribution can take non-positive values, and its experimental reconstruction becomes challenging when expectation values of incompatible observables are involved. Here, we use an interferometric scheme aided by an auxiliary system to reconstruct the Kirkwood-Dirac quasiprobability distribution. We experimentally demonstrate this scheme in an electron-nuclear spin system associated with a nitrogen-vacancy center in diamond. By measuring the characteristic function, we reconstruct the quasiprobability distribution of work and analyze the behavior of its first and second moments. Our results clarify the physical meaning of the work quasiprobability distribution in the context of quantum thermodynamics. Finally, we study the uncertainty of measuring the Hamiltonian of the system at two times, via the Robertson-Schrödinger uncertainty relation, for different initial states.

Abstract Image

量子相关函数干涉测量法获取工作的准概率分布
柯克伍德-狄拉克准概率分布与在不同时间测量的两个观测值的量子相关函数密切相关,它与基础物理学和量子技术的关系日益密切。这种准概率分布可以取非正值,当涉及不相容观测值的期望值时,其实验重建就变得具有挑战性。在这里,我们使用一种由辅助系统辅助的干涉测量方案来重建柯克伍德-狄拉克准概率分布。我们在一个与金刚石中的氮空位中心相关的电子核自旋系统中实验演示了这一方案。通过测量特征函数,我们重建了功的准概率分布,并分析了其第一和第二矩的行为。我们的研究结果阐明了量子热力学背景下功的准概率分布的物理意义。最后,我们通过罗伯逊-薛定谔不确定性关系,研究了不同初始状态下两次测量系统哈密顿的不确定性。
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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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