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Quantum Machine Learning
Experimental Demonstration of Software-Orchestrated Quantum Network Applications over a Campus-Scale Testbed
arXiv
Authors: Md. Shariful Islam, Joaquin Chung, Ely Marcus Eastman, Robert J. Hayek, Prem Kumar, Rajkumar Kettimuthu
Year
2025
Paper ID
17724
Status
Preprint
Abstract Read
~2 min
Abstract Words
106
Citations
N/A
Abstract
To fulfill their promise, quantum networks must transform from isolated testbeds into scalable infrastructures for distributed quantum applications. In this paper, we present a prototype orchestrator for the Argonne Quantum Network (ArQNet) testbed that leverages design principles of software-defined networking (SDN) to automate typical quantum communication experiments across buildings in the Argonne campus connected over deployed, telecom fiber. Our implementation validates a scalable architecture supporting service-level abstraction of quantum networking tasks, distributed time synchronization, and entanglement verification across remote nodes. We present a prototype service of continuous, stable entanglement distribution between remote sites that ran for 12 hours, which defines a promising path towards scalable quantum networks.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- To fulfill their promise, quantum networks must transform from isolated testbeds into scalable infrastructures for distributed quantum applications.
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