Certification of quantum properties with imperfect measurements
Leonardo Zambrano, Teodor Parella-Dilmé, Antonio Acín, Donato Farina
TL;DR
The paper tackles the problem of certifying convex functions of quantum states under realistic noise, including shot noise and imperfect measurements. It extends the confidence-region tomography framework by incorporating an operational-distance bound for measurement imperfections, yielding an expanded feasible region defined by $\sum_{k=1}^m |\mathrm{tr}(E_k \rho) - \hat f_k| \le \epsilon_1 + \epsilon_2$, where $\epsilon_1 = \sqrt{ \frac{2}{N} \ln \frac{2^m}{\delta} }$ and $\epsilon_2$ bounds $d_{\mathrm{op}}(E,F)$. Robust bounds for any convex $\mathcal{F}$ are obtained by solving $\mathcal{F}_{\mathrm{LB}} = \min_\rho \mathcal{F}(\rho)$ or $\mathcal{F}_{\mathrm{UB}} = \max_\rho \mathcal{F}(\rho)$ subject to the above constraints, without requiring informationally complete measurements. The method is demonstrated on three numerical applications—minimum preparation fidelity, magnetization, and entanglement witnesses—showing reliable certification even when calibration errors are present. This framework provides a practical, general, and efficient tool for robust quantum-state certification in near-term experiments.
Abstract
The accurate characterization of quantum systems is essential for the advancement of quantum technologies. In particular, certifying convex functions of quantum states plays a central role in many applications. We present a certification method for experimentally prepared quantum states that accounts for both shot noise and measurement imperfections in the data-acquisition stage. Building upon previous work, our method extends confidence regions to accommodate imperfect control over measurements. The values of the functions can then be bounded using convex optimization techniques. We provide explicit prescriptions for quantifying the noise contribution from finite statistics and for estimating the effect of measurement imperfections. By jointly incorporating statistical and systematic errors, the method yields a robust certification framework for quantum experiments.
