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20242026
most citedQuantum Advantage in Distributed Sensing with Noisy Quantum Networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators

9 papers

quant-ph20262 cited

Quantum Advantage in Distributed Sensing with Noisy Quantum Networks

Allen Zang, Alexander Kolar, Alvin Gonzales +5

We show that quantum advantage in distributed sensing can be achieved with noisy quantum networks which only distribute noisy entangled states. We derive a closed-form expression o…

cs.NI2026

Beyond Assumptions: Measuring Federated Learning over Real 5G Networks

Robert J. Hayek, Kayla Comer, Joaquin Chung +3

Deploying FL using IoT devices is an area poised to significantly benefit from advances in NextG wireless. In this paper, we deploy a FL application using a 5G-NR Standalone (SA) t…

quant-ph2026

InterQnet: A Heterogeneous Full-Stack Approach to Co-designing Scalable Quantum Networks

Joaquin Chung, Daniel Dilley, Ely Eastman +21

Quantum communications have progressed significantly, moving from a theoretical concept to small-scale experiments to recent metropolitan-scale demonstrations. As the technology ma…

quant-ph2026

Simulation of Quantum Transduction Strategies for Quantum Networks

Laura d'Avossa, Caitao Zhan, Joaquin Chung +3

The Quantum Internet would likely be composed of diverse qubit technologies that interact through a heterogeneous quantum network. Thus, quantum transduction has been identified as…

quant-ph2025

A Review of Software for Designing and Operating Quantum Networks

Robert J. Hayek, Joaquin Chung, Rajkumar Kettimuthu

Quantum network protocol development is crucial to realizing a production-grade network that can support distributed sensing, secure communication, and utility-scale quantum comput…

cs.DC2025

To Stream or Not to Stream: Towards A Quantitative Model for Remote HPC Processing Decisions

Flavio Castro, Weijian Zheng, Joaquin Chung +2

Modern scientific instruments generate data at rates that increasingly exceed local compute capabilities and, when paired with the staging and I/O overheads of file-based transfers…