arrow
返回

Snapshotting quantum dynamics at multiple time points

delete2024-10-16
delete0
delete
OA
AI
王鹏飞 封面图
王鹏飞 (Pengfei Wang)
H
Hyukjoon Kwon
C
Chunyang Luan
W
Wentao Chen
M
Mu Qiao
Z
Zinan Zhou
K
Kaizhao Wang
M
M. S. Kim *
K
Kihwan Kim *
DOI:10.1038/s41467-024-53051-5delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
Measurement-induced state disturbance is a major challenge in obtaining quantum statistics at multiple time points. We propose a method to extract dynamic information from a quantum system at intermediate time points, namely snapshotting quantum dynamics. To this end, we apply classical post-processing after performing the ancilla-assisted measurements to cancel out the impact of the measurements at each time point. Based on this, we reconstruct a multi-time quasi-probability distribution (QPD) that correctly recovers the probability distributions at the respective time points. Our approach can also be applied to simultaneously extract exponentially many correlation functions with various time-orderings. We provide a proof-of-principle experimental demonstration of the proposed protocol using a dual-species trapped-ion system by employing 171Yb+ and 138Ba+ ions as the system and the ancilla, respectively. Multi-time measurements are performed by repeated initialization and detection of the ancilla state without directly measuring the system state. The two- and three-time QPDs and correlation functions are reconstructed reliably from the experiment, negativity and complex values in the QPDs clearly indicate a contribution of the quantum coherence throughout dynamics. Sequential incompatible measurements on a quantum state would need a full multi-time generalisation of quasiprobability in order to be adequately described. Here, the authors propose such a framework, and test it on a trapped-ion system measuring up to three-time correlation functions.
Keyword:
DECOHERENCE
INFORMATION
COMPONENT
PARTICLE
LOGIC
SPIN
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Nature Communications 封面图
Nature Communications
IF:
15.7
论文数:
9.4W
被引数:
91.2W

机构

T
tsinghua university
学者数:
11.9W
论文数: 10.0W
被引数: 137
B
Beijing Academy of Quantum Information Sciences
学者数:
692
论文数: 423
被引数: 0
引用论文

引用论文

Hippocampal Contributions to the Large-Scale Episodic Memory Network Predict Vivid Visual Memories
err2015-10-31
err0
errOAAI
errBenjamin R. Geib; Matthew L. Stanley; Erik A. Wing; Paul J. Laurienti; Roberto Cabeza
err分享
err收藏
err分享
err收藏
Multi-time quantum correlations with no spatial analog无空间模拟的多时间量子关联
err2018-08-02
err18
errOAAI
errRingbauer, Martin; Costa, Fabio; Goggin, Michael E.; White, Andrew G.; Fedrizzi, Alessandro
err分享
err收藏
Efficacy of Dietary Natural Zeolite andSaccharomyces cerevisiaein Counteracting Aflatoxicosis in Broiler Chicks
err2004-09-01
err0
errOAAI
errM. Modirsanei; A. R. Khosravi; S. M.M. Kiaei; M. H. Bozorgmehri Fard; M. J. Gharagozloo; P. Khazraeinia
err分享
err收藏
学者 查看更多内容