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This research introduces a "nearly-exact" dynamical map for quantum trajectories that significantly improves state estimation accuracy when only time-binned measurement data is available. By incorporating an additional experimental statistic, the method reduces the error scaling from $(\Delta t)^{3/2}$ to $(\Delta t)^{2}$, offering a more robust approach for systems with coarse-grained observations. The findings provide a practical advancement for quantum control and sensing protocols where continuous measurement records are experimentally inaccessible.
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Quantum trajectories for time-binned data and their closeness to fully conditioned quantum trajectories

arXiv3 min read

arXiv:2601.10937v3 Announce Type: replace 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 $\vec y_t$. Recently, there has been renewed interest in finite-interval dynamical maps for quantum trajectories, where the measurement record is available only over intervals of duration $\Delta t$. Guilmin \emph{et al.}\ (unpublished) derived such a map for the experimentally relevant case in which only a coarse-grained current (time-binned), denoted by $I_t$, is available. Remarkably, this coarse-grained record $I_t$ still yields a conditioned state, termed the \emph{robinet} state, whose impurity scales as small as $(\Delta t)^{3}$. We show, however, that the \emph{typical} trace distance between the robinet state and the fully conditioned state (obtained from the complete measurement record) scales as $(\Delta t)^{3/2}$. We then introduce a higher-order finite-interval dynamical map, the ``nearly-exact'' map, which requires only one additional real statistic, $\phi_t$, from each interval. We analytically show that the resulting conditioned state is much closer to the fully conditioned state, with a distance scaling as $(\Delta t)^{2}$. We further numerically verify the distance scalings, measured relative to highly accurate approximations of the fully conditioned state, for the robinet map, our nearly-exact map, the lowest-order approximate It\^o map, and two existing higher-order maps. Our results show that, for generic systems, whenever $\phi_t$ can be extracted experimentally alongside $I_t$, the nearly exact map provides the most accurate state estimate among the finite-interval maps considered.

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 $\vec y_t$. Recently, there has been renewed interest in finite-interval dynamical maps for quantum trajectories, where the measurement record is available only over intervals of duration $\Delta t$. Guilmin \emph{et al.}\ (unpublished) derived such a map for the experimentally relevant case in which only a coarse-grained current (time-binned), denoted by $I_t$, is available. Remarkably, this coarse-grained record $I_t$ still yields a conditioned state, termed the \emph{robinet} state, whose impurity scales as small as $(\Delta t)^{3}$. We show, however, that the \emph{typical} trace distance between the robinet state and the fully conditioned state (obtained from the complete measurement record) scales as $(\Delta t)^{3/2}$. We then introduce a higher-order finite-interval dynamical map, the ``nearly-exact'' map, which requires only one additional real statistic, $\phi_t$, from each interval. We analytically show that the resulting conditioned state is much closer to the fully conditioned state, with a distance scaling as $(\Delta t)^{2}$. We further numerically verify the distance scalings, measured relative to highly accurate approximations of the fully conditioned state, for the robinet map, our nearly-exact map, the lowest-order approximate Itô map, and two existing higher-order maps. Our results show that, for generic systems, whenever $\phi_t$ can be extracted experimentally alongside $I_t$, the nearly exact map provides the most accurate state estimate among the finite-interval maps considered.

arXiv:2601.10937 [quant-ph]

(or arXiv:2601.10937v3 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2601.10937 Focus to learn more arXiv-issued DOI via DataCite

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