Entanglement Purification with Double Selection

TL;DR

This paper introduces a double selection entanglement purification method that improves fidelity and noise thresholds while maintaining comparable yield, applicable to bipartite and multipartite states.

Contribution

The paper presents a novel double selection protocol that enhances entanglement purification efficiency and robustness, achieving optimal error removal and higher fidelity in noisy environments.

Findings

Higher noise thresholds for communication and local operations.

Achieves upper bound on fidelity in low noise regime.

Applicable to multipartite entanglement purification.

Abstract

We investigate efficient entanglement purification through double selection process. This method works with higher noise thresholds for the communication channels and local operations, and achieves higher fidelity of purified states. Furthermore it provides a yield comparable to the usual protocol with single selection. It is shown by general considerations that the double selection is optimal to remove the first-order errors, achieving the upper bound on the fidelity of purified states in the low noise regime. The double selection is also applied to purification of multi-partite entanglement such as two-colorable graph states.