No-go theorem for norm-based quantumness-certification with linear functionals
Soumyakanti Bose, Yong-Siah Teo, Hyukjoon Kwon, Hyunseok Jeong
TL;DR
This work addresses whether a universal, optimization-free norm-based quantumness certificate for optical states can exist. It introduces a convex resource-theoretic framework based on the $p$-norm distance $ extstyle ext{N}_ ext{C}^{p, ext{F}_L}( ho)= orm{ ext{F}_L( ho)- ext{F}_L[ ext{C}( ho)]}_p$ between a state and its classicalized image, with a quantumness-breaking channel $ ext{C}$ and a linear functional $ ext{F}_L$. The authors prove a no-go theorem showing that no such universal certificate can be constructed solely from linear functionals without optimization, and they support this with explicit Gaussian and non-Gaussian examples using a Gaussian classicalization channel $ ext{C}_g$ and the $L^1$-norm between Wigner functions. The results reveal that norm-based measures can fail to detect quantumness in certain states when subjected to quantumness-breaking dynamics, highlighting fundamental limits of optimization-free, norm-based quantumness certification. The work advances understanding of when and how optically quantumness can be operationally quantified and underscores the necessity of optimization in universal quantumness certification, with implications for metrology, communication, and quantum information processing.
Abstract
Despite several approaches proposed to operationally characterize quantum states of light-those that cannot be sampled with a positive distribution over classical states-most existing formulations suffer from limited practicality or rely on convex optimization procedures that are computationally demanding. In this work, we develop a general convex resource-theoretic framework to quantify optical quantumness directly from the norms of linear functionals of quantum states, thereby avoiding any optimization. We further establish a no-go theorem demonstrating that no universal measure of quantumness can exist in the absence of optimization. Finally, we substantiate our theoretical result through explicit examples involving both Gaussian and non-Gaussian states.
