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This research introduces temporal state tomography (TST), a novel framework for reconstructing multi-time quantum processes using temporal quasiprobability distributions. By establishing a direct operational route to access these distributions and deriving the associated sample complexity, the work significantly advances the statistical efficiency of characterizing dynamic quantum systems. This development is crucial for scaling up quantum error correction and control protocols that rely on precise modeling of time-evolving states.
Temporal State Tomography via Quantum Snapshotting the Temporal Quasiprobabilities
arXiv:2605.02655v2 Announce Type: replace Abstract: Quantum tomography is a cornerstone of quantum information science, enabling the reconstruction of states and channels from experimental data. Here we introduce a new paradigm, temporal state tomography (TST), for reconstructing quantum processes across multiple times. Our approach is based on temporal quasiprobability distributions (TQDs), which, in the informationally complete setting, provide a complete description of multi-time quantum processes and uniquely determine temporal states. We formulate TST as a unified framework for reconstructing both density operators and quantum channels within a single scheme. We show that any TQD can be obtained via classical post-processing of measurement outcomes generated by a fixed set of quantum instruments, thereby establishing a direct operational route to accessing TQDs experimentally. For informationally complete TQDs, the associated temporal state can be reconstructed via a temporal Bloch-type representation. Leveraging this correspondence, we derive the sample complexity of TST, thereby quantifying its statistical efficiency.
Abstract:Quantum tomography is a cornerstone of quantum information science, enabling the reconstruction of states and channels from experimental data. Here we introduce a new paradigm, temporal state tomography (TST), for reconstructing quantum processes across multiple times. Our approach is based on temporal quasiprobability distributions (TQDs), which, in the informationally complete setting, provide a complete description of multi-time quantum processes and uniquely determine temporal states. We formulate TST as a unified framework for reconstructing both density operators and quantum channels within a single scheme. We show that any TQD can be obtained via classical post-processing of measurement outcomes generated by a fixed set of quantum instruments, thereby establishing a direct operational route to accessing TQDs experimentally. For informationally complete TQDs, the associated temporal state can be reconstructed via a temporal Bloch-type representation. Leveraging this correspondence, we derive the sample complexity of TST, thereby quantifying its statistical efficiency.
arXiv:2605.02655 [quant-ph]
(or arXiv:2605.02655v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2605.02655 Focus to learn more arXiv-issued DOI via DataCite
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