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Weak-Value Amplification for Longitudinal Phase Measurements Approaching the Shot-Noise Limit Characterized by Allan Variance

Jing-Hui Huang, Xiang-Yun Hu

Abstract

We report a quantitative evaluation of weak-value amplification (WVA) for longitudinal phase measurements using Allan variance analysis. Building on a recent double-slit interferometry experiment with real weak values [Phys. Rev. Lett. 134, 080802 (2025)], our Allan variance analysis demonstrates measurement of a few attosecond time delay approaching the shot noise limit at short averaging intervals of $T$ = $0.01-0.1$ s, representing two orders of magnitude variance reduction compared to the $T=300$ s operating point in prior implementations. We demonstrate that the Allan-variance noise floor scales with the inverse of the detected photon number $1/N_r$, confirming shot-noise-limited operation with WVA. Furthermore, this $1/N_r$ scaling experimentally validates that WVA can outperform conventional measurement under fixed detected photon number and detector saturation, in the presence of technical noise, as theoretically predicted [Phys. Rev. Lett. 118, 070802 (2017)]. Our results provide rigorous, quantitative evidence of the near-optimal noise performance achievable with WVA, establishing a new benchmark for precision optical metrology. This advancement is particularly relevant to applications such as gravitational-wave detection, where signals predominantly occupy the high-frequency regime ($>10$ Hz).

Weak-Value Amplification for Longitudinal Phase Measurements Approaching the Shot-Noise Limit Characterized by Allan Variance

Abstract

We report a quantitative evaluation of weak-value amplification (WVA) for longitudinal phase measurements using Allan variance analysis. Building on a recent double-slit interferometry experiment with real weak values [Phys. Rev. Lett. 134, 080802 (2025)], our Allan variance analysis demonstrates measurement of a few attosecond time delay approaching the shot noise limit at short averaging intervals of = s, representing two orders of magnitude variance reduction compared to the s operating point in prior implementations. We demonstrate that the Allan-variance noise floor scales with the inverse of the detected photon number , confirming shot-noise-limited operation with WVA. Furthermore, this scaling experimentally validates that WVA can outperform conventional measurement under fixed detected photon number and detector saturation, in the presence of technical noise, as theoretically predicted [Phys. Rev. Lett. 118, 070802 (2017)]. Our results provide rigorous, quantitative evidence of the near-optimal noise performance achievable with WVA, establishing a new benchmark for precision optical metrology. This advancement is particularly relevant to applications such as gravitational-wave detection, where signals predominantly occupy the high-frequency regime ( Hz).
Paper Structure (10 sections, 14 equations, 5 figures)

This paper contains 10 sections, 14 equations, 5 figures.

Figures (5)

  • Figure 1: Study of optimal weak-value amplification via Allan variance analysis. (a) Schematic of experimental realization of a WVA-based two-slits interferometer for measuring few-attosecond time delays. Two weak measurements with the same preselection and weak interaction but different postselections are conducted inside a two-slit interferometer. Few-attosecond time delays are controlled by two perpendicular true zero-order HWPs, with the second HWP tilted at an angle $\theta$ around the $y$ axis. The two pointers are post-selected using two D-shaped HWPs at different angles followed by a PBS. Components: polarizing beam splitter (PBS), half-wave plate (HWP), D-shaped half-wave plate (D-HWP), Charge-Coupled Device (CCD). (b) The principle of the Allan variance analysis in a sampled system with a sampling period $\delta t$, where the number of time-series data $\tau_j$ is finite and is constrained to be an averaging interval ${T=n \times \delta t}$ (here $n=5$).
  • Figure 2: Short-term and long-term precision for a $\tau = 1.69$ as time delay measurement.(a) Allan variance $\sigma_{e}^{2}(T)$ versus averaging interval $T$ (log-log scale). (b) Power spectral density (PSD) of the measured time delay under different conditions. Data were acquired at sampling rates of $f_s = 100$ Hz and $f_s = 0.1$ Hz, with post-selection angles $\beta^{u,d} = \pm1.6^{\circ}$ (weak-value amplification) and $\beta^{u,d} = \pm45^{\circ}$ (traditional measurement without WVA). The standard quantum limit (SQL) $\sigma_{f}(T)$ (dashed line) is given by the Cramér-Rao bound, and is calculated based on Eq. (\ref{['Eq:define_FisherInformation']}). The SQL lines are calculated from the raw (non-averaged) sampling data and represent the fundamental shot-noise limit at the single-measurement level. The red triangle marks the minimum experimental variance achieved at $T = 300$ s in Ref. PhysRevLett.134.080802. The detected photon number for the WVA condition ($\beta^{u,d} = \pm1.6^{\circ}$) was measured to be $N_r = 3.6 \times 10^{4}$ photons per measurement. This value is consistent with the experimental parameters used in the previous work PhysRevLett.134.080802, confirming a comparable post-selection efficiency and facilitating a direct comparison of the shot-noise-limited performance.
  • Figure 3: Dependence of the measured variance $\sigma_{e,f}^2$ on the detected photon number $N_r$. Each data point represents the average of 200 independent measurements collected at a sampling rate $f_s = 100$ Hz. The experimental data obtained under WVA with $\beta^{u,d}=\pm1.6^{\circ}$ follows the SQL, confirming the predicted $\sigma^2 \propto 1/N_r$ scaling.
  • Figure 4: Dependence of the measured Allan curve $\sigma_{e,f}^2(T)$ on the detected photon number $N_r$. Data were acquired at sampling rates of $f_s = 100$ Hz with post-selection angles $\beta^{u,d} = \pm1.6^{\circ}$ (WVA).
  • Figure 5: Dependence of the measured Allan variance $\sigma_{e,f}^2$ on the magnitude of the time delay $\tau$ being estimated. Data were acquired at sampling rates of $f_s = 100$ Hz with post-selection angles $\beta^{u,d} = \pm1.6^{\circ}$ (WVA).