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The Most Informative Cramér--Rao Bound for Quantum Two-Parameter Estimation with Pure State Probes

Simon K. Yung, C. M. Yung, Lorcán O. Conlon, Syed M. Assad

Abstract

Optimal measurements for quantum multiparameter estimation are complicated by the uncertainty principle. Generally, there is a trade-off between the precision with which different parameters can be simultaneously estimated. The task of determining the minimum achievable estimation error is a central task of multiparameter quantum metrology. For estimating parameters encoded in pure quantum states, the ultimate limit is known, but is given by the solution of a non-trivial minimisation problem. We present a new expression for the achievable bound for two-parameter estimation with pure states that is considerably simpler. We also determine the optimal measurements, completing the problem of two-parameter estimation with pure state probes. To demonstrate the utility of our result, we determine the precision limit for estimating displacements using grid states.

The Most Informative Cramér--Rao Bound for Quantum Two-Parameter Estimation with Pure State Probes

Abstract

Optimal measurements for quantum multiparameter estimation are complicated by the uncertainty principle. Generally, there is a trade-off between the precision with which different parameters can be simultaneously estimated. The task of determining the minimum achievable estimation error is a central task of multiparameter quantum metrology. For estimating parameters encoded in pure quantum states, the ultimate limit is known, but is given by the solution of a non-trivial minimisation problem. We present a new expression for the achievable bound for two-parameter estimation with pure states that is considerably simpler. We also determine the optimal measurements, completing the problem of two-parameter estimation with pure state probes. To demonstrate the utility of our result, we determine the precision limit for estimating displacements using grid states.

Paper Structure

This paper contains 14 equations, 2 figures.

Figures (2)

  • Figure 1: Allowed regions for the eigenvalues $\mu$, $\nu$ of the matrix $G(\Pi)$, for sample values of $\beta$. The solid lines represent the boundaries of the allowed regions (above the solid lines is not possible, as are values less than 0 or greater than 1). The dashed curves demonstrate that the boundary of the regions is an arc of an ellipse. For $\beta=1$, the ellipse degenerates to a line.
  • Figure 2: Mean squared error lower bounds for displacement sensing with grid states. The lower bounds and mean photon number are calculated numerically for different squeezing levels.