The Impact of Quantum Memory Quality on Entanglement Assisted Communication

TL;DR

This paper investigates how the quality of quantum memory affects entanglement-assisted classical communication, demonstrating that high entanglement generation rates and modest storage can surpass classical limits.

Contribution

It introduces a new communication model considering quantum memory noise and proposes a protocol for distributed clustering leveraging entanglement.

Findings

High entanglement generation rates improve communication performance.

Quantum memory noise impacts the efficiency of entanglement-assisted communication.

Entanglement assistance can surpass classical communication limits with modest storage.

Abstract

This work explores entanglement-assisted communication, where quantum entanglement resources enable the transmission of classical information at an enhanced rate. We consider a scenario where entanglement is distributed ahead of time based on network traffic levels, and simulate a setting where idle nodes generate and store entanglement to later transmit messages at an accelerated rate. We analyze this communication model using noise models for quantum memory in various scenarios, and extend our investigation to a quantum-enhanced distributed computing environment, where entanglement storage enhances data transmission rates for cooperative data processing. We propose a protocol and demonstrate a distributed version of unsupervised clustering. Our results show that, for qubit channels, high rates of entanglement generation and modest storage requirements can surpass the classical limit with entanglement assistance.