Moving quantum sensors
Abstract
We investigate whether controlled motion of a quantum sensor offers a metrological advantage in a field-detection task. We consider a localized field of known strength B occupying an unknown contiguous region making up a fraction 1/N of the total search space, with a qubit sensor controlled for a total time T to maximize the probability of detecting the field. We study the regime in which the characteristic timescale of the field is slow compared to the time to move the sensor between any two regions, and we distinguish classical motion, where the sensor follows a definite trajectory, from quantum motion, where the sensor can be in a coherent superposition of locations. For a single classically moving sensor, we derive an optimal multi-stop protocol and obtain the exact maximum detection probability. Allowing coherent spatial superposition maps the single-sensor problem onto Hamiltonian search and reduces the interrogation time for successfully detecting the field from Θ(N/B) to Θ(√N/B). We then extend the problem to M sensors and identify a hierarchy of optimal time scalings for constant success probability determined by the available spatial and inter-sensor quantum resources. Unentangled coherently moving sensors achieve T=Θ(√(N/M)/B) by searching disjoint regions in parallel, while entanglement among the sensors can further enhance the effective field coupling and achieve T=Θ(√N/(MB)). Matching lower bounds establish the optimality of these scalings in the presence of arbitrary controls and ancilla systems. Our results separate the roles of classical motion, spatial coherence, and entanglement in spatial field detection.
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BibTeX
@misc{zhang2026moving,
title = {{Moving quantum sensors}},
author = {Evan Zhang and Erfan Abbasgholinejad and Yu-Xin Wang and Ali Fahimniya and Daniel J. Spencer and Sean R. Muleady and Mohammad Hafezi and Andrew M. Childs and Alexey V. Gorshkov},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.17176},
eprint = {2610.17176},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.17176},
}
RIS
TY - UNPB
TI - Moving quantum sensors
AU - Evan Zhang
AU - Erfan Abbasgholinejad
AU - Yu-Xin Wang
AU - Ali Fahimniya
AU - Daniel J. Spencer
AU - Sean R. Muleady
AU - Mohammad Hafezi
AU - Andrew M. Childs
AU - Alexey V. Gorshkov
PY - 2026
DA - 2026/10/12
PB - arXiv
DO - 10.48550/arxiv.2610.17176
UR - https://arxiv.org/abs/2610.17176
AB - We investigate whether controlled motion of a quantum sensor offers a metrological advantage in a field-detection task. We consider a localized field of known strength B occupying an unknown contiguous region making up a fraction 1/N of the total search space, with a qubit sensor controlled for a total time T to maximize the probability of detecting the field. We study the regime in which the characteristic timescale of the field is slow compared to the time to move the sensor between any two regions, and we distinguish classical motion, where the sensor follows a definite trajectory, from quantum motion, where the sensor can be in a coherent superposition of locations. For a single classically moving sensor, we derive an optimal multi-stop protocol and obtain the exact maximum detection probability. Allowing coherent spatial superposition maps the single-sensor problem onto Hamiltonian search and reduces the interrogation time for successfully detecting the field from Θ(N/B) to Θ(√N/B). We then extend the problem to M sensors and identify a hierarchy of optimal time scalings for constant success probability determined by the available spatial and inter-sensor quantum resources. Unentangled coherently moving sensors achieve T=Θ(√(N/M)/B) by searching disjoint regions in parallel, while entanglement among the sensors can further enhance the effective field coupling and achieve T=Θ(√N/(MB)). Matching lower bounds establish the optimality of these scalings in the presence of arbitrary controls and ancilla systems. Our results separate the roles of classical motion, spatial coherence, and entanglement in spatial field detection.
ER -