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This research demonstrates a fundamental advantage in quantum sensing, showing that specific squeezing resources enable polynomial-time detection of continuously evolving signals like gravitational waves, whereas their absence forces exponential time requirements. The study establishes an exponential separation in sensing efficiency based on the degree of squeezing applied to sensors monitoring dynamic electromagnetic or gravitational fields. This theoretical breakthrough highlights the critical role of quantum resources in optimizing real-world applications where signals vary over time rather than remaining static.
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Exponential separation in sensing continuous signals via squeezing

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arXiv:2609.38678v1 Announce Type: new Abstract: Quantum sensing traditionally focuses on using quantum resources such as squeezing and entanglement to improve precision for sensing fixed signals. However, in many applications such as gravitational-wave detection and electromagnetic-field sensing, the signal evolves continuously and varies through time. Additionally, the learner is free to prepare, control, and measure the sensor at arbitrary times, possibly chosen adaptively. In this work, we establish exponential separation in sensing time for continuously evolving signals due to the available squeezing. The signals we study are characterized by a pattern size $T$, and we find that a sensor with squeezing at least $\omega(\sqrt{\log T})$ offers a $\mathrm{poly}(T)$ sensing time, whereas those with squeezing at most $o(\sqrt{\log T})$ must use an exponential sensing time in $T$.

Abstract:Quantum sensing traditionally focuses on using quantum resources such as squeezing and entanglement to improve precision for sensing fixed signals. However, in many applications such as gravitational-wave detection and electromagnetic-field sensing, the signal evolves continuously and varies through time. Additionally, the learner is free to prepare, control, and measure the sensor at arbitrary times, possibly chosen adaptively. In this work, we establish exponential separation in sensing time for continuously evolving signals due to the available squeezing. The signals we study are characterized by a pattern size $T$, and we find that a sensor with squeezing at least $\omega(\sqrt{\log T})$ offers a $\mathrm{poly}(T)$ sensing time, whereas those with squeezing at most $o(\sqrt{\log T})$ must use an exponential sensing time in $T$.

arXiv:2609.38678 [quant-ph]

(or arXiv:2609.38678v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.38678 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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