activity
20192026
most citedModel Pruning Enables Efficient Federated Learning on Edge Devices

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

collaborators

18 papers

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…

quant-ph2025

Adaptive Resource Orchestration for Distributed Quantum Computing Systems

Kuan-Cheng Chen, Felix Burt, Nitish K. Panigrahy +1

Scaling quantum computing beyond a single device requires networking many quantum processing units (QPUs) into a coherent quantum-HPC system. We propose the Modular Entanglement Hu…

cs.LG2025

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series

Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu +1

The rapid growth of industrial Internet of Things (IIoT) systems has created new challenges for anomaly detection in high-dimensional, multivariate time-series, where privacy, scal…

quant-ph2025

Quantum Machine Learning for UAV Swarm Intrusion Detection

Kuan-Cheng Chen, Samuel Yen-Chi Chen, Tai-Yue Li +2

Intrusion detection in unmanned-aerial-vehicle (UAV) swarms is complicated by high mobility, non-stationary traffic, and severe class imbalance. Leveraging a 120 k-flow simulation…

quant-ph2025★ 4 cited

Entanglement-Efficient Distribution of Quantum Circuits over Large-Scale Quantum Networks

Felix Burt, Kuan-Cheng Chen, Kin K. Leung

Quantum computers face inherent scaling challenges, a fact that necessitates investigation of distributed quantum computing systems, whereby scaling is achieved through interconnec…

quant-ph2025

Special-Unitary Parameterization for Trainable Variational Quantum Circuits

Kuan-Cheng Chen, Huan-Hsin Tseng, Samuel Yen-Chi Chen +2

We propose SUN-VQC, a variational-circuit architecture whose elementary layers are single exponentials of a symmetry-restricted Lie subgroup, $\mathrm{SU}(2^{k}) \subset \mathrm{SU…

quant-ph2025

Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing

Kuan-Cheng Chen, Chen-Yu Liu, Yu Shang +2

We introduce a distributed quantum-classical framework that synergizes photonic quantum neural networks (QNNs) with matrix-product-state (MPS) mapping to achieve parameter-efficien…

quant-ph2025

Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers

Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu +1

In this work, we introduce a Distributed Quantum Long Short-Term Memory (QLSTM) framework that leverages modular quantum computing to address scalability challenges on Noisy Interm…

quant-ph2025★ 6 cited

A Multilevel Framework for Partitioning Quantum Circuits

Felix Burt, Kuan-Cheng Chen, Kin K. Leung

Executing quantum algorithms over distributed quantum systems requires quantum circuits to be divided into sub-circuits which communicate via entanglement-based teleportation. Naiv…

quant-ph2025

Resource-Efficient Compilation of Distributed Quantum Circuits for Solving Large-Scale Wireless Communication Network Problems

Kuan-Cheng Chen, Felix Burt, Shang Yu +3

Optimizing routing in Wireless Sensor Networks (WSNs) is pivotal for minimizing energy consumption and extending network lifetime. This paper introduces a resourceefficient compila…

quant-ph2024

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning

Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu +1

In this paper, we introduce Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning (Dist-QTRL), a novel approach to addressing the scalability challenges of traditional…

quant-ph2024

Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-term Quantum Hardware

Kuan-Cheng Chen, Xiatian Xu, Felix Burt +3

This paper introduces a noise-aware distributed Quantum Approximate Optimization Algorithm (QAOA) tailored for execution on near-term quantum hardware. Leveraging a distributed fra…

quant-ph2024★ 27 cited

Generalised Circuit Partitioning for Distributed Quantum Computing

Felix Burt, Kuan-Cheng Chen, Kin Leung

Distributed quantum computing (DQC) is a new paradigm aimed at scaling up quantum computing via the interconnection of smaller quantum processing units (QPUs). Shared entanglement…

cs.LG2019★ 54 cited

Model Pruning Enables Efficient Federated Learning on Edge Devices

Yuang Jiang, Shiqiang Wang, Victor Valls +4

Federated learning (FL) allows model training from local data collected by edge/mobile devices while preserving data privacy, which has wide applicability to image and vision appli…