Sensing of Low-Frequency Electric Fields Using Rydberg EIT within the Fisher Information Framework
Tianyu Zhou, Haipeng Xie, and Xin Wang

TL;DR
This paper develops a theoretical framework for low-frequency electric field sensing using Rydberg atom-based EIT, introducing a differential measurement strategy and cavity enhancement to improve sensitivity for applications like smart grid monitoring.
Contribution
It presents a comprehensive Fisher information-based model for low-frequency electric field detection with Rydberg EIT, proposing novel measurement and cavity-enhanced configurations to surpass sensitivity limits.
Findings
Achieves a sensitivity bound of ~1×10^{-4} V/m/√Hz using differential measurement.
Demonstrates cavity enhancement increases Fisher information by over two orders of magnitude.
Provides a theoretical basis for high-precision electromagnetic monitoring in smart grids.
Abstract
Rydberg atoms, which possess exceptionally large electric dipole moments, offer a promising route for electric field sensing as well as metrology traceable to the International System of Units (SI); however, current research predominantly focuses on the microwave (MW) regime, leaving the quasi-direct current (quasi-DC) and low-frequency bands, ubiquitous in power systems, largely unexplored. In this paper, we present a theoretical investigation into low-frequency electric field detection. To this end, we establish a comprehensive modeling framework incorporating Fisher information (FI) and the Cram\'{e}r-Rao lower bound (CRLB) to quantify the fundamental precision limits of electromagnetically induced transparency (EIT) readouts. Building upon this framework, we propose a linearized sensing strategy utilizing a DC-biased two-point differential measurement. Numerical validations…
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