估算量子态非线性函数的混合框架

IF 6.6 1区 物理与天体物理 Q1 PHYSICS, APPLIED npj Quantum Information Pub Date : 2024-06-21 DOI:10.1038/s41534-024-00846-5
You Zhou, Zhenhuan Liu
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引用次数: 0

摘要

估计量子态的非线性函数,如矩({{\rm{tr}}}}({\rho }^{m})),在量子科学与技术领域具有基础性和实用性的意义。在这里,我们展示了一种测量它们的量子-经典混合框架,其中量子部分由广义交换检验构成,经典部分则通过对随机测量结果进行后处理来实现。这种混合框架利用了中等规模量子处理器的部分相干能力,同时大大减少了量子测量的次数和经典后处理的成本。我们展示了我们的框架在状态时刻估计和量子误差缓解任务中的优势。
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A hybrid framework for estimating nonlinear functions of quantum states

Estimating nonlinear functions of quantum states, such as the moment \({{{\rm{tr}}}}({\rho }^{m})\), is of fundamental and practical interest in quantum science and technology. Here we show a quantum-classical hybrid framework to measure them, where the quantum part is constituted by the generalized swap test, and the classical part is realized by postprocessing the result from randomized measurements. This hybrid framework utilizes the partial coherent power of the intermediate-scale quantum processor and, at the same time, dramatically reduces the number of quantum measurements and the cost of classical postprocessing. We demonstrate the advantage of our framework in the tasks of state-moment estimation and quantum error mitigation.

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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.
期刊最新文献
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