Quantum noise scaling in continuously operating multiparameter sensors
Aleksandra Sierant, Diana Méndez-Avalos, Santiago Tabares Giraldo, Morgan W. Mitchell
TL;DR
The paper addresses quantum-noise limits in continuously monitored multiparameter spin sensors, focusing on a hybrid rf–dc optically pumped magnetometer. Using controlled pump and probe powers and polarization-squeezed readout, they map PSN, SPN, and MBA and show distinct scaling laws: $\mathcal{S}^{\mathrm{PSN}} \propto P_{\mathrm{pr}}$, $\mathcal{S}^{\mathrm{SPN}}_{\mathrm{tot}} \propto P_{\mathrm{pr}}^{2}$, and $\mathcal{S}^{\mathrm{MBA}}_{\mathrm{tot}} \propto P_{\mathrm{pr}}^{3} P_{\mathrm{pu}}^{2}$. A stochastic Bloch-equation model captures the spin dynamics and readout noise, and the data reveal a fundamental trade-off between high-frequency sensitivity limited by PSN and low-frequency sensitivity limited by MBA, implying an optimal operating point. The results generalize to other continuously monitored spin ensembles and provide practical guidance for designing quantum-noise-limited, multiparameter sensors.
Abstract
We experimentally investigate the quantum noise mechanisms that limit continuously operating multiparameter quantum sensors. Using a hybrid rf-dc optically pumped magnetometer, we map the photon shot noise, spin projection noise, and measurement back-action noise over an order of magnitude in probe power and a factor of three in pump power while remaining quantum-noise-limited. We observe linear, quadratic, and cubic scaling of the respective total noise powers with probe photon flux, together with a quadratic dependence of back-action on pump photon flux, in quantitative agreement with a stochastic Bloch-equation model. At higher probe powers, additional probe-induced relaxation modifies the spin-noise spectrum while preserving the integrated noise scaling. Our results reveal fundamental, resource-dependent trade-offs unique to continuously monitored multiparameter sensors and establish experimentally the quantum limits governing their optimal operation.
