11 citations · 19 across the 11 of their papers we have counts for
4 papers · 1 filter
Federated Quantum Long Short-term Memory (FedQLSTM)
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad +1
Quantum federated learning (QFL) can facilitate collaborative learning across multiple clients using quantum machine learning (QML) models, while preserving data privacy. Although…
Foundations of Quantum Federated Learning Over Classical and Quantum Networks
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad +2
Quantum federated learning (QFL) is a novel framework that integrates the advantages of classical federated learning (FL) with the computational power of quantum technologies. This…
Matching Game for Optimized Association in Quantum Communication Networks
Mahdi Chehimi, Bernd Simon, Walid Saad +3
Enabling quantum switches (QSs) to serve requests submitted by quantum end nodes in quantum communication networks (QCNs) is a challenging problem due to the heterogeneous fidelity…
Scaling Limits of Quantum Repeater Networks
Mahdi Chehimi, Shahrooz Pouryousef, Nitish K. Panigrahy +2
Quantum networks (QNs) are a promising platform for secure communications, enhanced sensing, and efficient distributed quantum computing. However, due to the fragile nature of quan…