Post-processed estimation of quantum state trajectories
Abstract
Weak quantum measurements enable real-time tracking and control of dynamical quantum systems, producing quantum trajectories -- evolutions of the quantum state of the system conditioned on measurement outcomes. For classical systems, the accuracy of trajectories can be improved by incorporating future information, a procedure known as smoothing. Here we apply this concept to quantum systems, generalising a formalism of quantum state smoothing for an observer monitoring a quantum system exposed to environmental decoherence, a scenario important for many quantum information protocols. This allows future data to be incorporated when reconstructing the trajectories of quantum states. We experimentally demonstrate that smoothing improves accuracy using a continuously measured nanomechanical resonator, showing that the method compensates for both gaps in the measurement record and inaccessible environments. We further observe a key predicted departure from classical smoothing: quantum noise renders the trajectories nondifferentiable. These results establish that future information can enhance quantum trajectory reconstruction, with potential applications across quantum sensing, control, and error correction.
Cite
@article{arxiv.2510.16754,
title = {Post-processed estimation of quantum state trajectories},
author = {Soroush Khademi and Jesse J. Slim and Kiarn T. Laverick and Jin Chang and Jingkun Guo and Simon Gröblacher and Howard M. Wiseman and Warwick P. Bowen},
journal= {arXiv preprint arXiv:2510.16754},
year = {2025}
}
Comments
Main Text (8 pages, 4 figures), Methods & References (14 pages, 6 figures), Supplementary Information (6 pages, 2 figures)