High-Dimensional Carrier-Assisted Entanglement Purification Based on Mutually Unbiased Bases
Abstract
Distilling high-dimensional quantum entanglement under realistic, general asymmetric noise remains a formidable challenge. Standard entanglement purification protocols inevitably fail to satisfy convergence constraints under severe asymmetric noise. In this paper, we investigate carrier-assisted entanglement purification protocols, namely CAEPP and mCAEPP, first for two-qutrit systems, demonstrating that without adaptive pre-processing, convergence is strictly bottlenecked by marginal -error probabilities. To overcome this limitation, we introduce a deterministic pre-processing scheme based on mutually unbiased bases (MUBs). By actively rotating the qutrit phase space to establish primary-axis error dominance, we rigorously prove that, conditioned on successful syndrome outcomes, the MUB-adapted mCAEPP yields unit asymptotic fidelity for any two-qutrit Pauli channel with initial fidelity . We further extend the algebraic carrier-assisted framework and the asymmetric-noise bottleneck to arbitrary qudit dimensions, and show that in prime-power dimensions the MUB-geometric preprocessing gives the sufficient high-dimensional threshold .
Cite
@article{arxiv.2605.20958,
title = {High-Dimensional Carrier-Assisted Entanglement Purification Based on Mutually Unbiased Bases},
author = {Zihua Song and Lin Chen and Yongge Wang},
journal= {arXiv preprint arXiv:2605.20958},
year = {2026}
}
Comments
38 pages, 8 figures