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Snapshotting quantum dynamics at multiple time points.
- 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