Pre-Channel Entanglement Shaping Achieves Fundamental Superiority over Post-Distillation: A Geometric Entropy Perspective
Gang Lyu, Wenlong Sun, Yuanfeng Jin, Hua Nan

TL;DR
This paper introduces pre-channel entanglement shaping (PES), a novel approach that outperforms traditional post-distillation methods by actively engineering system-environment interactions before transmission, using geometric entropy as a key framework.
Contribution
It establishes PES as a new operational resource that surpasses post-distillation limits, supported by theoretical proofs, explicit examples, and numerical simulations.
Findings
PES suppresses geometric entropy production during channel evolution.
Final entanglement exceeds maximum post-distillation achievable from the same channel.
Numerical simulations validate the theoretical advantage of PES.
Abstract
Traditional entanglement distillation follows a post-processing paradigm, a noisy quantum state, after full transmission through a noisy channel, is treated as a static resource to be purified via LOCC (local operations and classical communication). This work demonstrates a fundamentally different paradigm,pre-channel entanglement shaping (PES) -- actively engineering the system-environment coupling before or during channel transmission -- achieves a level of purification capability that is physically unattainable by any post-distillation protocol. We prove this separation using the framework of geometric entropy (quantum relative entropy to separable states). In post-distillation, the protocol can only select low-entropy sub-ensembles from a fixed mixed state, leaving the global geometric entropy unchanged or increased. In contrast, PES \textit{suppresses the rate of geometric entropy…
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