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量子混叠的资源理论。

Resource theory of quantum scrambling.

机构信息

Department of Physics, Harvard University, Cambridge, MA 02138.

出版信息

Proc Natl Acad Sci U S A. 2023 Apr 25;120(17):e2217031120. doi: 10.1073/pnas.2217031120. Epub 2023 Apr 18.

DOI:10.1073/pnas.2217031120
PMID:37071685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10151511/
Abstract

Quantum chaos has become a cornerstone of physics through its many applications. One trademark of quantum chaotic systems is the spread of local quantum information, which physicists call scrambling. In this work, we introduce a mathematical definition of scrambling and a resource theory to measure it. We also describe two applications of this theory. First, we use our resource theory to provide a bound on magic, a potential source of quantum computational advantage, which can be efficiently measured in experiment. Second, we also show that scrambling resources bound the success of Yoshida's black hole decoding protocol.

摘要

量子混沌通过其众多应用已成为物理学的基石。量子混沌系统的一个特点是局部量子信息的扩散,物理学家称之为混搅。在这项工作中,我们引入了混搅的数学定义和一种用于测量它的资源理论。我们还描述了该理论的两个应用。首先,我们利用资源理论对魔术(一种潜在的量子计算优势来源)进行了限制,魔术可以在实验中有效地进行测量。其次,我们还表明,混搅资源限制了 Yoshida 黑洞解码协议的成功。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/945e/10151511/a888cdeb5b7b/pnas.2217031120fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/945e/10151511/0e37dee631d9/pnas.2217031120fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/945e/10151511/5f650ae360a8/pnas.2217031120fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/945e/10151511/4a3ef5ea3cbd/pnas.2217031120fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/945e/10151511/a888cdeb5b7b/pnas.2217031120fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/945e/10151511/0e37dee631d9/pnas.2217031120fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/945e/10151511/5f650ae360a8/pnas.2217031120fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/945e/10151511/4a3ef5ea3cbd/pnas.2217031120fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/945e/10151511/a888cdeb5b7b/pnas.2217031120fig04.jpg

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本文引用的文献

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Out-of-time-order correlation for many-body localization.多体局域化中的时间反序关联
Sci Bull (Beijing). 2017 May 30;62(10):707-711. doi: 10.1016/j.scib.2017.04.011. Epub 2017 Apr 20.
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The nonequilibrium cost of accurate information processing.准确信息处理的非平衡成本。
Nat Commun. 2022 Nov 22;13(1):7155. doi: 10.1038/s41467-022-34541-w.
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Observation of Thermalization and Information Scrambling in a Superconducting Quantum Processor.超导量子处理器中热化和信息扰乱的观测
Phys Rev Lett. 2022 Apr 22;128(16):160502. doi: 10.1103/PhysRevLett.128.160502.
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Exact Emergent Quantum State Designs from Quantum Chaotic Dynamics.基于量子混沌动力学的精确突发量子态设计
Phys Rev Lett. 2022 Feb 11;128(6):060601. doi: 10.1103/PhysRevLett.128.060601.
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Stabilizer Rényi Entropy.稳定化雷尼熵
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Information scrambling in quantum circuits.量子电路中的信息混淆。
Science. 2021 Dec 17;374(6574):1479-1483. doi: 10.1126/science.abg5029. Epub 2021 Oct 28.
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Barren Plateaus Preclude Learning Scramblers.贫瘠的高原阻碍学习攀爬者。
Phys Rev Lett. 2021 May 14;126(19):190501. doi: 10.1103/PhysRevLett.126.190501.
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Quantum computational advantage using photons.利用光子实现量子计算优势。
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Minimal Model for Fast Scrambling.快速加扰的最小模型。
Phys Rev Lett. 2020 Sep 25;125(13):130601. doi: 10.1103/PhysRevLett.125.130601.
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Quantum Error Correction in Scrambling Dynamics and Measurement-Induced Phase Transition.量子纠错在扰动态和测量诱导相变中的应用
Phys Rev Lett. 2020 Jul 17;125(3):030505. doi: 10.1103/PhysRevLett.125.030505.