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Optimal Discrimination of Gaussian States by Gaussian Measurements

Leah Turner, Ludovico Lami, Madalin Guta, Gerardo Adesso

Abstract

Are Gaussian measurements enough to distinguish between Gaussian states? Here, we tackle this question by focusing on the max-relative entropy as an operational distinguishability metric. Given two general multimode Gaussian states, we derive a condition, based on their covariance matrices, that completely determines whether or not there exists an optimal Gaussian measurement achieving the max-relative entropy. When the condition is satisfied, we find this optimal measurement explicitly. When the condition is not met, there is a strict gap between the distinguishability achievable by Gaussian measurements and the unconstrained max-relative entropy in which all measurements are allowed. We illustrate our results in the single-mode setting, and show examples of states for which this gap can be made arbitrarily large, revealing novel instances of Gaussian data hiding.

Optimal Discrimination of Gaussian States by Gaussian Measurements

Abstract

Are Gaussian measurements enough to distinguish between Gaussian states? Here, we tackle this question by focusing on the max-relative entropy as an operational distinguishability metric. Given two general multimode Gaussian states, we derive a condition, based on their covariance matrices, that completely determines whether or not there exists an optimal Gaussian measurement achieving the max-relative entropy. When the condition is satisfied, we find this optimal measurement explicitly. When the condition is not met, there is a strict gap between the distinguishability achievable by Gaussian measurements and the unconstrained max-relative entropy in which all measurements are allowed. We illustrate our results in the single-mode setting, and show examples of states for which this gap can be made arbitrarily large, revealing novel instances of Gaussian data hiding.
Paper Structure (12 sections, 8 theorems, 34 equations, 1 figure)

This paper contains 12 sections, 8 theorems, 34 equations, 1 figure.

Key Result

Proposition 2

The matrix $\gamma_{\mathrm{opt}}$ in (covmat) is a legitimate quantum covariance matrix if and only if $\rho$ and $\sigma$ satisfy the inequality where $V_\zeta$ is expressed in terms of $V_\rho$ and $V_\sigma$ via (vm) and (eq:SST).

Figures (1)

  • Figure 1: Contour plot of the Gaussian measured max-relative entropy $D^{\cal G}_{\max}(\rho\|\sigma)$ (shades of blue, increasing from darker to lighter) between two undisplaced single-mode Gaussian states, a squeezed thermal state $\rho$ with covariance matrix $V_\rho=(2m+1) {\rm diag}({\rm e}^{2r}, {\rm e}^{-2r})$ and a thermal state $\sigma$ with covariance matrix $V_\sigma=(2n+1) \mathds{1}_2$, for $n=0.5$ (left) and $n=2$ (right). In the gray background region, $D^{\cal G}_{\max}(\rho\|\sigma)=\infty$. In the reddish shaded central region, $D^{\cal G}_{\max}(\rho\|\sigma)=D_{\max}(\rho\|\sigma)$, that is, Gaussian measurements achieve the max-relative entropy. Along the orange dashed boundary, the optimal Gaussian measurement is a homodyne and attains the max-relative entropy as a limiting case.

Theorems & Definitions (16)

  • Definition 1
  • Proposition 2
  • proof
  • Theorem 3
  • Lemma 4
  • proof
  • Lemma 5
  • proof
  • Lemma 6
  • proof
  • ...and 6 more