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Approximate pushforward designs and image bounds on approximations

2025/12/01 by Jakub Czartowski, Czartowski, Jakub, Adam Sawicki +3
Mathematics · Computer Science · Decision Sciences · #Mathematical Approximation and Integration #Quantum Computing Algorithms and Architecture #Optimal Experimental Design Methods

paper · pdf · doi:10.48550/arxiv.2512.01858

Abstract

We extend the framework of quantum pushforward designs to the approximate setting, where averaging is achieved only up to finite precision. Using Schatten p-norms and Lipschitz continuity arguments, we derive bounds on the approximation parameters of pushforward designs obtained from complex projective spaces, including simplices, mixed states, and quantum channels. In the mixed-state case, we refine the bounds by exploiting the symmetric subspace structure, leading to asymptotically tighter estimates. Numerical simulations support our theoretical results, showing near-optimality in low-dimensional scenarios.

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