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20192026
most citedModel Pruning Enables Efficient Federated Learning on Edge Devices

54 citations · 91 across the 15 of their papers we have counts for

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quant-ph2026

Loss-tolerant distributed lattice surgery using fusion networks

Felix Burt, Richard Meister, Sheng-Ku Lin +5

Networking matter-based quantum processing units (QPUs) offers a promising route to scaling fault-tolerant quantum computers. This requires distributed logical operations to be per…

quant-ph2026

Architecture-Aware Reinforcement Learning for Communication-Efficient Distributed Quantum Circuit Compilation

Chien-Tung Kuo, Felix Burt, Samuel Yen-Chi Chen +2

Distributed quantum computing provides a scalable route for executing quantum circuits beyond the capacity limits of a single quantum processing unit (QPU), but it introduces a com…

cs.NI2026

Quantum Networking Fundamentals: From Physical Protocols to Network Engineering

Athanasios Gkelias, Felix T. A. Burt, Kin K. Leung

The realization of the Quantum Internet promises transformative capabilities in secure communication, distributed quantum computing, and high-precision metrology. However, transiti…

quant-ph2026

Photonic Quantum-Enhanced Knowledge Distillation

Kuan-Cheng Chen, Shang Yu, Chen-Yu Liu +10

Photonic quantum processors naturally produce intrinsically stochastic measurement outcomes, offering a hardware-native source of structured randomness that can be exploited during…

quant-ph2026

Consensus Protocols for Entanglement-Aware Scheduling in Distributed Quantum Neural Networks

Kuan-Cheng Chen, Samuel Yen-Chi Chen, Mahdi Chehimi +2

The realization of distributed quantum neural networks (DQNNs) over quantum internet infrastructures faces fundamental challenges arising from the fragile nature of entanglement an…