Entanglement sharing across a damping-dephasing channel

TL;DR

This paper studies entanglement distillation over a combined damping-dephasing noise channel, proposing a scheme that isolates damping noise and demonstrating it can outperform existing strategies in realistic noise conditions.

Contribution

It introduces a practical distillation scheme that isolates damping noise and provides lower bounds on entanglement capacities for joint damping-dephasing channels, showing advantages over known methods.

Findings

The scheme isolates damping noise effectively.

The protocol exceeds reverse coherent information in realistic damping conditions.

Non-additivity is observed at the two-letter level in the channel.

Abstract

Entanglement distillation is a fundamental information processing task whose implementation is key to quantum communication and modular quantum computing. Noise experienced by such communication and computing platforms occurs not only in the form of Pauli noise such as dephasing (sometimes called $T_2$) but also non-Pauli noise such as amplitude damping (sometimes called $T_1$). We initiate a study of practical and asymptotic distillation over what we call the joint damping-dephasing noise channel. In the practical setting, we propose a distillation scheme that completely isolates away the damping noise. In the asymptotic setting we derive lower bounds on the entanglement sharing capacities including the coherent and reverse coherent information. Like the protocol achieving the reverse coherent information, our scheme uses only backward classical communication. However, for realistic damping noise ($T_1 \neq 2T_2$) our strategy can exceed the reverse coherent strategy, which is the best known for pure damping. In the forward communication setting we numerically exceed the single-letter coherent information strategy by observing the channel displays non-additivity at the two-letter level. The work shows non-additivity can also be found in realistic noise models with magnitudes of non-additivity similar to those found in more idealized noise channels.