Quantum network utility: A framework for benchmarking quantum networks

Author:

Lee Yuan12ORCID,Dai Wenhan234ORCID,Towsley Don3,Englund Dirk124ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139

2. Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139

3. College of Information and Computer Sciences, University of Massachusetts, Amherst, MA 01003

4. Quantum Photonics Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139

Abstract

The central aim of quantum networks is to facilitate user connectivity via quantum channels, but there is an open need for benchmarking metrics to compare diverse quantum networks. Here, we propose a general framework for quantifying the performance of a quantum network by estimating the value created by connecting users through quantum channels. In this framework, we define the quantum network utility metric U QN to capture the social and economic value of quantum networks. The proposed framework accommodates a variety of applications from secure communications to distributed sensing. As a case study, we investigate the example of distributed quantum computing in detail. We determine the scaling laws of quantum network utility, which suggest that distributed edge quantum computing has more potential for success than its classical equivalent. We believe the proposed utility-based framework will serve as a foundation for guiding and assessing the development of quantum network technologies and designs.

Funder

DOD | Multidisciplinary University Research Initiative

National Science Foundation

Publisher

Proceedings of the National Academy of Sciences

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. All-or-Nothing Concurrent Entanglement Routing;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Resource Placement for Rate and Fidelity Maximization in Quantum Networks;IEEE Transactions on Quantum Engineering;2024

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