Entanglement distribution maximization over one-side Gaussian noisy channel

TL;DR

This paper investigates how to maximize entanglement distribution over a one-sided Gaussian noisy channel by using minimal testing, providing a method to optimize entanglement even with limited channel information.

Contribution

It introduces a strategy to optimize entanglement distribution over one-sided Gaussian channels with limited channel testing, advancing quantum communication techniques.

Findings

Maximization of entanglement distribution is possible with only two specific state tests.

The approach works even without complete knowledge of the Gaussian noisy channel.

The method enhances efficiency in quantum communication over noisy channels.

Abstract

The optimization of entanglement evolution for two-mode Gaussian pure states under one-side Gaussian map is studied. Even there isn't complete information about the one-side Gaussian noisy channel, one can still maximize the entanglement distribution by testing the channel with only two specific states.