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观测伪随机混合态的纠缠相变。

Observation of entanglement transition of pseudo-random mixed states.

机构信息

Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.

School of Physical Sciences, University of Chinese Academy of Sciences, Beijing, 100190, China.

出版信息

Nat Commun. 2023 Apr 8;14(1):1971. doi: 10.1038/s41467-023-37511-y.

Abstract

Random quantum states serve as a powerful tool in various scientific fields, including quantum supremacy and black hole physics. It has been theoretically predicted that entanglement transitions may happen for different partitions of multipartite random quantum states; however, the experimental observation of these transitions is still absent. Here, we experimentally demonstrate the entanglement transitions witnessed by negativity on a fully connected superconducting processor. We apply parallel entangling operations, that significantly decrease the depth of the pseudo-random circuits, to generate pseudo-random pure states of up to 15 qubits. By quantum state tomography of the reduced density matrix of six qubits, we measure the negativity spectra. Then, by changing the sizes of the environment and subsystems, we observe the entanglement transitions that are directly identified by logarithmic entanglement negativities based on the negativity spectra. In addition, we characterize the randomness of our circuits by measuring the distance between the distribution of output bit-string probabilities and the Porter-Thomas distribution. Our results show that superconducting processors with all-to-all connectivity constitute a promising platform for generating random states and understanding the entanglement structure of multipartite quantum systems.

摘要

随机量子态在包括量子霸权和黑洞物理在内的各个科学领域中是一种强大的工具。理论上预测,多部分随机量子态的不同划分可能会发生纠缠转变;然而,这些转变的实验观测仍然缺失。在这里,我们通过全连接超导处理器上的负性实验证明了纠缠转变的存在。我们应用并行纠缠操作,显著减少伪随机电路的深度,从而生成多达 15 个量子位的伪随机纯态。通过对六量子位约化密度矩阵的量子态层析成像,我们测量了负性谱。然后,通过改变环境和子系统的大小,我们观察到了基于负性谱的对数纠缠负性直接确定的纠缠转变。此外,我们通过测量输出位串概率分布与波特-托马斯分布之间的距离来表征我们电路的随机性。我们的结果表明,具有全连接的超导处理器为生成随机态和理解多部分量子系统的纠缠结构提供了一个很有前途的平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab7/10082798/d07e92e9ea0c/41467_2023_37511_Fig1_HTML.jpg

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