Sensitivity threshold defines the optimal spin subset for ensemble quantum sensing
- URL: http://arxiv.org/abs/2512.10549v1
- Date: Thu, 11 Dec 2025 11:30:22 GMT
- Title: Sensitivity threshold defines the optimal spin subset for ensemble quantum sensing
- Authors: Suwan I. Kang, Minhyeok Kim, Sanghyo Park, Heonsik Lee, Keunyoung Lee, Donggyu Kim,
- Abstract summary: We derive an analytic expression of ensemble sensitivity for inhomogeneous spin sensors.<n>We introduce sensitivity thresholds that reveal the optimal spin subset.<n>Our framework imposes no fundamental trade-offs and extends quantum sensing to heterogeneous sensing environments.
- Score: 2.328370332280478
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Finite drive power leaves unavoidable spatial gradients in control fields, preventing spin ensembles from reaching the standard-quantum-limit sensitivity. We derive an analytic expression of ensemble sensitivity for inhomogeneous spin sensors and introduce sensitivity thresholds that reveal the optimal spin subset. Applied to both pulsed and continuous-wave magnetometry, the optimal subsets deliver up to a tenfold improvement over conventional schemes relying on nominally uniform regions of the ensembles. We demonstrate phase-only digital holography to implement the optimal subsets and show that residual aberrations add less than 1 dB of sensitivity loss. Our framework imposes no fundamental trade-offs and extends quantum sensing to heterogeneous sensing environments.
Related papers
- Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations [57.179679246370114]
We identify the distribution of random perturbations that minimizes the estimator's variance as the perturbation stepsize tends to zero.<n>Our findings reveal that such desired perturbations can align directionally with the true gradient, instead of maintaining a fixed length.
arXiv Detail & Related papers (2025-10-22T19:06:39Z) - Squeezing enhanced sensing at an exceptional point [37.69303106863453]
We find extraordinary enhancement of sensitivity by unifying both effects in a general framework for quantum sensing in open systems.<n>The result generalizes to multimode squeezed-state sensors with higher-order exceptional points catered to various quantum sensing platforms.
arXiv Detail & Related papers (2025-07-23T22:06:35Z) - PhySense: Sensor Placement Optimization for Accurate Physics Sensing [53.58729034895666]
PhySense is a framework that learns to jointly reconstruct physical fields and to optimize sensor placements.<n>It achieves state-of-the-art physics sensing accuracy and discovers informative sensor placements previously unconsidered.
arXiv Detail & Related papers (2025-05-19T14:59:11Z) - Quantum Sensing with Driven-Dissipative Su-Schrieffer-Heeger Lattices [0.0]
The sensitivity of non-Hermitian systems has been extensively studied and stimulated ideas about developing new types of sensors.<n>In this paper, we examine a chain of parametrically driven resonators governed by the squeezed Su-Schrieffer-Heeger model.
arXiv Detail & Related papers (2024-12-17T19:00:00Z) - Criticality-enhanced Electric Field Gradient Sensor with Single Trapped Ions [0.7499722271664147]
We propose and analyze a driven-dissipative quantum sensor that is continuously monitored close to a dissipative critical point.
The device achieves highly precise sensing of oscillating electric field gradients at a criticality-enhanced precision scaling beyond the standard quantum limit.
arXiv Detail & Related papers (2023-04-04T18:02:05Z) - Investigation and comparison of measurement schemes in the low frequency
biosensing regime using solid-state defect centers [58.720142291102135]
Solid state defects in diamond make promising quantum sensors with high sensitivity andtemporal resolution.
Inhomogeneous broadening and drive amplitude variations have differing impacts on the sensitivity depending on the sensing scheme used.
We numerically investigate and compare the predicted sensitivity of schemes based on continuous-wave (CW) optically detected magnetic resonance (ODMR) spectroscopy, pi-pulse ODMR and Ramsey interferometry.
arXiv Detail & Related papers (2021-09-27T13:05:23Z) - Quantum probes for the characterization of nonlinear media [50.591267188664666]
We investigate how squeezed probes may improve individual and joint estimation of the nonlinear coupling $tildelambda$ and of the nonlinearity order $zeta$.
We conclude that quantum probes represent a resource to enhance precision in the characterization of nonlinear media, and foresee potential applications with current technology.
arXiv Detail & Related papers (2021-09-16T15:40:36Z) - Exceptional precision of a nonlinear optical sensor at a square-root
singularity [0.0]
We propose a single-mode Kerr-nonlinear resonator for exceptional sensing in noisy environments.
Our sensor has a signal-to-noise ratio that increases with the measurement speed, and a precision enhanced at the square-root singularity.
Remarkably, averaging the signal can quickly enhance and then degrade the precision.
arXiv Detail & Related papers (2021-07-02T22:10:36Z) - Fundamental Sensitivity Bounds for Quantum Enhanced Optical Resonance
Sensors Based on Transmission and Phase Estimation [1.6230648949593154]
We study optical resonance sensors, which detect a change in a parameter of interest through a resonance shift.
We show that the fundamental sensitivity results from an interplay between the QCRB and the transfer function of the system.
We also study the effect of losses external to the sensor on the degree of quantum enhancement.
arXiv Detail & Related papers (2021-06-14T20:23:12Z) - Optimal control of a nitrogen-vacancy spin ensemble in diamond for
sensing in the pulsed domain [52.77024349608834]
Defects in solid state materials provide an ideal platform for quantum sensing.
Control of such an ensemble is challenging due to the spatial variation in both the defect energy levels and in any control field across a macroscopic sample.
We experimentally demonstrate that we can overcome these challenges using Floquet theory and optimal control optimization methods.
arXiv Detail & Related papers (2021-01-25T13:01:05Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.