paper

Quantum trajectories for time-binned data and their closeness to fully conditioned quantum trajectories

arXiv:2601.10937

Abstract

Quantum trajectories are dynamical equations for quantum states conditioned on the results of a time-continuous measurement, such as a continuous-in-time current . Recently there has been renewed interest in dynamical maps for quantum trajectories with time-intervals of finite size . Guilmin \emph{et al.} (unpublished) derived such a dynamical map for the (experimentally relevant) case where only the average current over each interval is available. Surprisingly, this binned data still generates a conditioned state $ρ_\text{\faFaucet}$ that is almost pure (for efficient measurements), with an impurity scaling as . We show that, nevertheless, the typical distance of $ρ_\text{\faFaucet}$ from -- the projector for the pure state conditioned on the full current -- is as large as . We introduce another finite-interval dynamical map (``-map''), which requires only one additional real statistic, , of the current in the interval, that gives a conditioned state which is only -distant from . We numerically verify these scalings of the error (distance from the true states) for these two maps, as well as for the lowest-order (Itô) map and two other higher-order maps. Our results show that, for a generic system, if the statistic can be extracted from experiment along with , then the -map gives a smaller error than any other.

14 pages, 3 figures, 2 tables