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Rank-Adaptive Matrix-Free Atomic Quantum State Tomography
Amirhossein Taherpour, Alireza Sadeghi, Georgios B. Giannakis
Quantum state tomography estimates an unknown density operator from measurement data. Dense reconstruction however, can be impractical for many-qubit systems because the Hilbert-sp…
Secure Decentralized Federated Learning via Gossip and Virtual Voting
Amirhossein Taherpour, Xiaodong Wang
Decentralized federated learning (DFL) removes the central server by letting nodes exchange model updates through peer-to-peer gossip, but existing gossip-based methods often lack…
Distributed Learning of Quantum State Tomography Robust to Readout Errors
Amirhossein Taherpour, Alireza Sadeghi, Georgios B. Giannakis
Scalable estimation of quantum states with readout errors is a central challenge in large multiqubit systems. Existing overlapping-tomography methods improve scalability by working…
Secure High-Resolution ISAC via Multi-Layer Intelligent Metasurfaces: A Layered Optimization Framework
Amirhossein Taherpour, Abbas Taherpour, Tamer Khattab
Integrated sensing and communication (ISAC) has emerged as a pivotal technology for next-generation wireless networks, enabling simultaneous data transmission and environmental sen…
ZK-HybridFL: Zero-Knowledge Proof-Enhanced Hybrid Ledger for Federated Learning
Amirhossein Taherpour, Xiaodong Wang
Federated learning (FL) enables collaborative model training while preserving data privacy, yet both centralized and decentralized approaches face challenges in scalability, securi…