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20122026
most citedNetwork Sampling: From Static to Streaming Graphs

51 citations · 166 across the 80 of their papers we have counts for

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15 papers · 1 filter

quant-ph2026

Impact of Network Constraints on Fault-Tolerant Distributed Quantum Computing

Eneet Kaur, Shahrooz Pouryousef, Nitish Kumar Chandra +4

As we move towards scalable and modular quantum computing, quantum data centres become imperative. Existing analyses typically treat network constraints in isolation or through sim…

quant-ph2026★ 1 cited

A Universal Quantum Information Preserving Photonic Switch for Scalable Quantum Networks

Jiapeng Zhao, Stéphane Vinet, Amir Minoofar +6

Quantum networks are a keystone of the quantum internet. However, existing implementations remain largely confined to static point-to-point links due to the absence of a switching…

quant-ph2026

RADAR-Q: Resource-Aware Distributed Asynchronous Routing for Entanglement Distribution in Multi-Tenant Quantum Networks

Chenliang Tian, Zebo Yang, Raj Jain +6

Scalable quantum networks must support concurrent entanglement requests, yet existing routing protocols fail when users compete for shared repeater resources, wasting fragile quant…

quant-ph2026★ 1 cited

Asynchronous Routing for Multipartite Entanglement in Quantum Networks

Chenliang Tian, Zebo Yang, Raj Jain +6

In quantum networks, one way to communicate is to distribute entanglements through swapping at intermediate nodes. Most existing work primarily aims to create efficient two-party e…

quant-ph2026★ 1 cited

Benchmarking Quantum Data Center Architectures: A Performance and Scalability Perspective

Shahrooz Pouryousef, Eneet Kaur, Hassan Shapourian +3

Scalable distributed quantum computing (DQC) has motivated the design of multiple quantum data-center (QDC) architectures that overcome the limitations of single quantum processors…

quant-ph2025

ConQuER: Modular Architectures for Control and Bias Mitigation in IQP Quantum Generative Models

Xiaocheng Zou, Shijin Duan, Charles Fleming +4

Quantum generative models based on instantaneous quantum polynomial (IQP) circuits show great promise in learning complex distributions while maintaining classical trainability. Ho…