Granularity noise thermometry extracts temperature from the linear scaling of excess transmitted-light noise with photon-to-atom ratio using closed-form polarizability moments from the plasma dispersion function.
Granularity Noise Limit in Atomic-Ensemble-Based Metrology
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abstract
Conventional noise analysis in atomic-ensemble sensing assumes a continuous-medium approximation, thereby treating the atomic system as a deterministic dielectric. Here, we demonstrate that this assumption breaks down due to the discrete, particulate nature of the ensemble, giving rise to an intrinsic "atomic granularity noise" (AGN) that fundamentally competes with the optical measurement noise (OMN, typically photon shot noise). By introducing a discrete-atom statistical framework, we derive a unified noise-scaling law governed by a single dimensionless resource ratio, $\mathcal{R} = \bar{N}_{\mathrm{ph}}/\bar{N}_{\mathrm{at}}$ at (the photon-to-atom flux ratio). This law predicts a continuous crossover from an OMN-limited regime to an AGN-limited regime. Crucially, our results reveal a counter-intuitive constraint for sensor optimization: increasing optical probe power -- standard practice to mitigate OMN -- can paradoxically degrade sensitivity by driving the system into the AGN-dominated regime. Furthermore, we identify a critical resource threshold, $\mathcal{R}_{\mathrm{crit}}$, beyond which quantum-enhanced metrology using non-classical light fails to improve sensitivity, as it becomes limited by the AGN.
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physics.atom-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Photon-Atom Granularity Noise Thermometry
Granularity noise thermometry extracts temperature from the linear scaling of excess transmitted-light noise with photon-to-atom ratio using closed-form polarizability moments from the plasma dispersion function.