Towards End-to-End Error Management for a Quantum Internet

TL;DR

This paper proposes applying the end-to-end error management principle to the quantum Internet, aiming to enhance resource efficiency, scalability, and interoperability by simplifying error handling across multiple nodes.

Contribution

It introduces an end-to-end error management approach for quantum Internet, demonstrating improved resource efficiency and scalability through simulation results.

Findings

End-to-end error management is more resource-efficient.

Low error probability at end nodes allows higher network error tolerance.

Proposed approach enhances quantum Internet scalability and interoperability.

Abstract

Error management in the quantum Internet requires stateful and stochastic processing across multiple nodes, which is a significant burden. In view of the history of the current Internet, the end-to-end principle was devised for error management, simplifying the work inside the network and contributing significantly to the scalability of the Internet. In this paper, we propose to bring the end-to-end principle into the error management of quantum Internet to improve the communication resource utilization efficiency of a quantum Internet. The simulation results show that the error management using the end-to-end principle and locality can be more resource-efficient than other settings. In addition, when end-to-end error management is used, if the error probability of qubits in the end node is sufficiently low, there is no problem even if the error probability on the network side is higher than that in the end node, and the load on the network can be reduced. Our proposal will contribute to improving the communication capacity and scalability of the quantum Internet, as well as to improve the interoperability of quantum Autonomous Systems. In addition, existing studies on routing and other aspects of the quantum Internet may exclude error management from their scope due to its complexity. The results of this study provide validity to the assumptions of such studies.