Loss Tomography for Quantum Networks

TL;DR

This paper introduces a novel method using quantum capacity regions to perform loss tomography in quantum networks, enabling direct characterization of channel loss even with errors, advancing quantum network diagnostics.

Contribution

It proposes a new approach leveraging quantum capacity regions for quantum network tomography, especially for loss characterization, enhancing existing techniques.

Findings

Quantum capacity regions can characterize channel loss directly.

Method works even with bit-flip errors present.

Potential applications in network design and benchmarking.

Abstract

With steady progress in the development of quantum networks, the question on how to best provide end-to-end characterization of such networks (Quantum Network Tomography) is quickly becoming more pressing. Initial results demonstrated how we can utilize multipartite entanglement distribution to determine error probabilities of single-Pauli channels and depolarizing channels. In this work, we show how the analysis of quantum capacity regions can be used as a powerful new tool in quantum network tomography. As a first application of the proposed method, we demonstrate how we can characterize the loss on quantum channels in the network directly from quantum capacity region diagrams, even in the presence of bit-flip errors. Our results indicate that quantum capacity regions are not only valuable for network design, resource allocation, and protocol benchmarking, but also show promise for applications in quantum network tomography, particularly in loss tomography.