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arXiv:2512.18686

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

quant-phSubmitted Dec 21, 2025• Announced Dec 23, 2025• 0 citations
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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.

Comments
9 pages,6 figures

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We investigate the quantum sensing performance of a dephasing qubit as a probe in Ohmic environments, characterized by the coupling strength ηηη, the Ohmicity parameter sss, and the cutoff frequency ωcω_cωc​ to be estimated. The performance is quantified by the dimensionless quantum signal-to-noise ratio Q\mathcal{Q}Q. We show that the evolution of Q\mathcal{Q}Q with the scaled time ωctω_c tωc​t is independent of ωcω_cωc​, and peaks at an optimal time toptt_{\text{opt}}topt​, yielding optimal sensitivity Qopt\mathcal{Q}_{\text{opt}}Qopt​. We analyze how Qopt\mathcal{Q}_{\text{opt}}Qopt​ depends on ηηη, sss and the temperature TTT. Our results demonstrate that, for any Ohmic environment, provided that ωctopt≪1ω_c t_{\text{opt}} \ll 1ωc​topt​≪1, Qopt\mathcal{Q}_{\text{opt}}Qopt​ always reaches the upper bound: Qmax=0.648\mathcal{Q}_{\text{max}} = 0.648Qmax​=0.648 at zero temperature, and consistently attains Qmax/4\mathcal{Q}_{\text{max}}/4Qmax​/4 at high temperatures. Remarkably, we find that increasing the scaled temperature T/ωcT/ω_cT/ωc​ can enhance Qopt\mathcal{Q}_{\text{opt}}Qopt​ 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.
A dephasing qubit can sense temperature through its loss of coherence, but the same signal also depends on the strength of its coupling to the sample. We determine the high-temperature cost of estimating temperature when the spectral amplitude is unknown in an exactly solvable Ohmic model with an exponential cutoff. For independent, freely timed interrogations, the optimized effective Fisher information per shot is asymptotic to 0.00612330 a⁻² T⁻⁸, whereas the calibrated benchmark is 0.161903 T⁻². With total sensing time as the resource and zero reset overhead, the corresponding powers are T−15/2 and T−3/2. The six-power separation results from near-collinearity of the temperature and coupling scores: the leading thermal correction changes their common amplitude before a smaller time-dependent contribution distinguishes them. We prove an upper bound over all interrogation-time allocations and construct a two-time design attaining its leading constant. Arbitrary-precision calculations, independent integral evaluation, and synthetic counting experiments check the analytic and statistical calculations. We also identify the scale of independent calibration information required to compete with the uncalibrated signal. The conclusions are local estimation bounds for a fixed spectral model and a fixed positive coupling amplitude; they do not establish an adaptive protocol or an advantage over other thermometers.
Abstract The cutoff frequency is one of the crucial parameters that characterize the environment. In this paper, we estimate the cutoff frequency of the Ohmic spectral density by applying the π-pulse sequences (both equidistant and optimized) to a quantum probe coupled to a bosonic environment. To demonstrate the precision of cutoff frequency estimation, we theoretically derive the quantum Fisher information (QFI) and quantum signal-to-noise ratio (QSNR) across sub-Ohmic, Ohmic, and super-Ohmic environments, and investigate their behaviors through numerical examples. The results indicate that, compared to the equidistant π-pulse sequence, the optimized π-pulse sequence significantly shortens the time to reach maximum QFI while enhancing the precision of cutoff frequency estimation, particularly in deep sub-Ohmic and deep super-Ohmic environments.
We propose a theoretical scheme for quantum sensing of temperature close to absolute zero in a quasi-one-dimensional Bose-Einstein condensate (BEC). In our scheme, a single-atom impurity qubit is used as a temperature sensor. We investigate the sensitivity of the single-atom sensor in estimating the temperature of the BEC. We demonstrate that the sensitivity of the temperature sensor can saturate the quantum Cram\'er-Rao bound by means of measuring quantum coherence of the probe qubit. We study the temperature sensing performance by using quantum signal-to-noise ratio (QSNR). It is indicated that there is an optimal encoding time at which the QSNR can reach its maximum in the full-temperature regime. In particular, we find that the QSNR reaches a finite upper bound in the weak coupling regime even when the temperature is close to absolute zero, which implies that the sensing-error-divergence problem is avoided in our scheme. Our work opens a way for quantum sensing of temperature close to absolute zero in the BEC.
We theoretically study the quantum speed limits (QSLs) of a qubit system coupled to a thermal dephasing environment with an Ohmic-like spectral density. Based on the geometric QSLs time bound, which is derived by employing the trace distance to quantify the geodesic between two distinguishable states in dynamical evolution, we study the influences of the temperature and spectral density of the environment on the QSLs time of the dephasing qubit. We also investigate the interplay between the QSLs time, the environmental temperature, and the spectral density of the environment. It has been demonstrated that the QSLs time closely depends on the transition frequency and the dynamical behavior (e.g., coherence trapping) of the dephasing qubit. For a fixed Ohmicity parameter of the environmental spectral density, the increase in environmental temperature can enhance the QSLs time bound. In addition, when the environmental temperature remains constant, the increase in the Ohmicity parameter initially leads to a reduction in the QSLs time bound, which is then followed by an increase in the time bound of QSLs. Our results can help to better understand the QSLs in the dynamics of open quantum systems and have potential application in the modulation of QSLs time in the dephasing qubit by engineering the spectral density of the environment.
We investigate the dephasing dynamics of a qubit as an effective mechanism for estimating the temperature of its surrounding environment for different symmetrizes. Our approach is fundamentally quantum, leveraging the qubit's susceptibility to decoherence without necessitating thermal equilibrium with the system under study. We also examine how symmetry properties affect the accuracy of information retrieval and the robustness of quantum information storage in such systems, highlighting their potential advantages in mitigating decoherence effects. The optimization of quantum Fisher information is performed with respect to both the interaction duration and the environmental temperature, focusing on Ohmic-like spectral density environments. Furthermore, we explicitly identify the optimal qubit measurement that attains the quantum Cramer-Rao bound for precision. Our findings reveal that optimal estimation arises from a complex interplay between the qubit's dephasing dynamics and the Ohmic characteristics of the environment with a particular focus on non-Hermitian systems that exhibit enhanced resilience to decoherence. Notably, optimal estimation does not occur when the qubit reaches a stationary state nor under conditions of complete dephasing.
We propose an approach to implement a supersensitive estimation of the key parameters of the Ohmic-family spectral density with coherent spin states as the quantum sensor. This method can dramatically improve the estimation precision of the reservoir coupling strength as well as the cutoff frequency of the spectral density, by using both the number of spins NNN and encoding time ttt as effective resources. The quantum Fisher information indicates that the estimation sensitivity of the spectral density can surpass the shot-noise limit for all the sub-Ohmic, Ohmic, and super-Ohmic reservoirs. In particular, for super-Ohmic reservoirs, the precision can achieve a scaling $\ensuremath{\propto}1/(Nt)$. We also present the measurement scheme which can saturate the quantum Cram\'er-Rao bound.