Learning Quantum Entanglement Distillation with Noisy Classical Communications

TL;DR

This paper introduces Noise Aware-LOCCNet, a quantum entanglement distillation protocol optimized for noisy classical communication channels, improving fidelity in practical quantum networks with imperfect sources.

Contribution

It proposes a novel protocol that accounts for communication noise using parameterized quantum circuits, advancing entanglement distillation methods for real-world noisy channels.

Findings

NA-LOCCNet outperforms existing noiseless protocols in fidelity enhancement.

The approach effectively mitigates errors from noisy classical channels.

Experimental results demonstrate significant fidelity improvements.

Abstract

Quantum networking relies on the management and exploitation of entanglement. Practical sources of entangled qubits are imperfect, producing mixed quantum state with reduced fidelity with respect to ideal Bell pairs. Therefore, an important primitive for quantum networking is entanglement distillation, whose goal is to enhance the fidelity of entangled qubits through local operations and classical communication (LOCC). Existing distillation protocols assume the availability of ideal, noiseless, communication channels. In this paper, we study the case in which communication takes place over noisy binary symmetric channels. We propose to implement local processing through parameterized quantum circuits (PQCs) that are optimized to maximize the average fidelity, while accounting for communication errors. The introduced approach, Noise Aware-LOCCNet (NA-LOCCNet), is shown to have significant advantages over existing protocols designed for noiseless communications.