Temperature-enhanced quantum sensing for the cutoff frequency of Ohmic environments
Yuan Ji-Bing, Song Ya-Ju, Tang Shi-Qing, Wang Xin-Wen, Kuang Le-Man
TL;DR
The paper analyzes a dephasing qubit as a probe to estimate the cutoff frequency of Ohmic environments, quantified by the QSNR $\mathcal{Q}$. It shows that, at zero temperature, $\mathcal{Q}$ peaks at an optimal time and can reach a universal maximum $\mathcal{Q}_{\text{max}}=0.648$ under a short-time condition; the maximum is derived from a transcendental equation with $\gamma_{\text{opt}}\approx0.8$. At high temperature, the QSNR saturates to $\mathcal{Q}_{\text{sat}}=\mathcal{Q}_{\text{max}}/4\approx0.162$, and temperature can substantially enhance sensing for small coupling $η$ by compressing the optimal measurement window, effectively making temperature a resource for improved frequency estimation in Ohmic environments.
Abstract
We investigate the quantum sensing performance of a dephasing qubit as a probe in Ohmic environments, characterized by the coupling strength $η$, the Ohmicity parameter $s$, and the cutoff frequency $ω_c$ to be estimated. The performance is quantified by the dimensionless quantum signal-to-noise ratio $\mathcal{Q}$. We show that the evolution of $\mathcal{Q}$ with the scaled time $ω_c t$ is independent of $ω_c$, and peaks at an optimal time $t_{\text{opt}}$, yielding optimal sensitivity $\mathcal{Q}_{\text{opt}}$. We analyze how $\mathcal{Q}_{\text{opt}}$ depends on $η$, $s$ and the temperature $T$. Our results demonstrate that, for any Ohmic environment, provided that $ω_c t_{\text{opt}} \ll 1$, $\mathcal{Q}_{\text{opt}}$ always reaches the upper bound: $\mathcal{Q}_{\text{max}} = 0.648$ at zero temperature, and consistently attains $\mathcal{Q}_{\text{max}}/4$ at high temperatures. Remarkably, we find that increasing the scaled temperature $T/ω_c$ can enhance $\mathcal{Q}_{\text{opt}}$ by nearly two orders of magnitude compared to its zero-temperature counterpart for certain Ohmic environments. Our work reveals that temperature can serve as a resource to enhance sensing precision, as it accelerates the encoding of the cutoff frequency information into the probe state, thereby enabling optimal measurement within a short time window.
