activity
20222024
most citedTowards Quantum Federated Learning

14 citations · 26 across the 11 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

quant-ph2023★ 1 cited

Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing

Rakpong Kaewpuang, Minrui Xu, Dinh Thai Hoang +5

Quantum cloud computing (QCC) offers a promising approach to efficiently provide quantum computing resources, such as quantum computers, to perform resource-intensive tasks. Like t…

eess.SY2023

Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing

Ziqiang Ye, Yulan Gao, Yue Xiao +3

In this paper, we aim to address the challenge of hybrid mobile edge-quantum computing (MEQC) for sustainable task offloading scheduling in mobile networks. We develop cost-effecti…

cs.LG2023★ 14 cited

Towards Quantum Federated Learning

Chao Ren, Rudai Yan, Huihui Zhu +9

Quantum Federated Learning (QFL) is an emerging interdisciplinary field that merges the principles of Quantum Computing (QC) and Federated Learning (FL), with the goal of leveragin…

cs.CV2023★ 1 cited

DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation

Yu Guo, Ryan Wen Liu, Jiangtian Nie +5

Visual surveillance technology is an indispensable functional component of advanced traffic management systems. It has been applied to perform traffic supervision tasks, such as ob…

quant-ph2023

Entangled Pair Resource Allocation under Uncertain Fidelity Requirements

Rakpong Kaewpuang, Minrui Xu, Stephen John Turner +3

In quantum networks, effective entanglement routing facilitates remote entanglement communication between quantum source and quantum destination nodes. Unlike routing in classical…

cs.GT2023

Evolutionary Carrier Selection for Shared Truck Delivery Services

Rakpong Kaewpuang, Suttinee Sawadsitang, Dusit Niyato +1

With multiple carriers in a logistics market, customers can choose the best carrier to deliver their products and packages. In this paper, we present a novel approach of using the…