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This research demonstrates that indefinite causal order (ICO) serves as a distinct resource for enhancing multiparameter estimation precision beyond standard Gaussian limits in continuous-variable quantum systems. By utilizing odd-parity superpositions of operation orders, the study achieves superior performance without relying solely on non-Gaussian states or expensive squeezing resources. These findings advance the theoretical understanding of how temporal non-separability can optimize quantum sensing protocols.
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Surpassing Gaussian optimality in multiparameter estimation with indefinite causal order

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arXiv:2608.25870v1 Announce Type: new Abstract: We identify single-mode Gaussian probes, generated by displacement and squeezing operations on the vacuum state, which are optimal for the simultaneous estimation of displacement and squeezing operations in continuous-variable quantum systems. Importantly, our results reveal that the best precision at a fixed energy is achieved not by an experimentally costly squeezing resource, but rather by redirecting some of the energy towards displacement, thus allowing for more resource-effective operations. Furthermore, introducing indefinite causal order (ICO) in either the probe preparation or parameter encoding step can surpass the Gaussian precision bound, even though the optimal Gaussian probe state is agnostic to the ordering of the operations. Specifically, we observe that odd-parity superpositions of the two definite orders can enhance precision over optimal Gaussian probes in specific parameter regimes. Further, the observed advantage cannot be attributed solely to non-Gaussianity, as quantified by the relative entropy of non-Gaussianity, highlighting ICO as an independent resource for enhancing multiparameter estimation.

Abstract:We identify single-mode Gaussian probes, generated by displacement and squeezing operations on the vacuum state, which are optimal for the simultaneous estimation of displacement and squeezing operations in continuous-variable quantum systems. Importantly, our results reveal that the best precision at a fixed energy is achieved not by an experimentally costly squeezing resource, but rather by redirecting some of the energy towards displacement, thus allowing for more resource-effective operations. Furthermore, introducing indefinite causal order (ICO) in either the probe preparation or parameter encoding step can surpass the Gaussian precision bound, even though the optimal Gaussian probe state is agnostic to the ordering of the operations. Specifically, we observe that odd-parity superpositions of the two definite orders can enhance precision over optimal Gaussian probes in specific parameter regimes. Further, the observed advantage cannot be attributed solely to non-Gaussianity, as quantified by the relative entropy of non-Gaussianity, highlighting ICO as an independent resource for enhancing multiparameter estimation.

Quantum Physics (quant-ph); Optics (physics.optics)

arXiv:2608.25870 [quant-ph]

(or arXiv:2608.25870v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.25870 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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