Back to Search Start Over

Snapshotting quantum dynamics at multiple time points.

Authors :
Wang, Pengfei
Kwon, Hyukjoon
Luan, Chun-Yang
Chen, Wentao
Qiao, Mu
Zhou, Zinan
Wang, Kaizhao
Kim, M. S.
Kim, Kihwan
Source :
Nature Communications; 10/19/2024, Vol. 15 Issue 1, p1-13, 13p
Publication Year :
2024

Abstract

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 <superscript>171</superscript>Yb<superscript>+</superscript> and <superscript>138</superscript>Ba<superscript>+</superscript> 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
180370061
Full Text :
https://doi.org/10.1038/s41467-024-53051-5