Showing quant-phShow all
2 papers · 1 filter
quant-ph2026
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits
Prabhjot Singh, Adel N. Toosi, Rajkumar Buyya
Circuit cutting lets a large quantum neural network (QNN) run as independent subcircuits on small devices, but rebuilding its outputs by reconstruction carries a classical sampling…
quant-ph2025
Quantum Federated Learning: Architectural Elements and Future Directions
Siva Sai, Abhishek Sawaika, Prabhjot Singh +1
Federated learning (FL) focuses on collaborative model training without the need to move the private data silos to a central server. Despite its several benefits, the classical FL…