SatQNet uses decentralized RL with an edge-centric directed line graph neural network to route entanglements in dynamic satellite-assisted quantum networks, outperforming heuristics and generalizing to unseen topologies.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
quant-ph 3verdicts
UNVERDICTED 3representative citing papers
Hybrid feedback with a coherently coupled fast ancilla and a homodyne-current predictor achieves 3-4 times longer qubit T1 than the Wiseman-Milburn limit in Lindblad-derived rates and IBM-scale simulations.
Two qubits coupled by a finite transmission line show non-Markovian dynamics in identifiable parameter regimes when the line is treated as a structured reservoir or few-mode coupler.
citing papers explorer
-
SatQNet: Satellite-assisted Quantum Network Entanglement Routing Using Directed Line Graph Neural Networks
SatQNet uses decentralized RL with an edge-centric directed line graph neural network to route entanglements in dynamic satellite-assisted quantum networks, outperforming heuristics and generalizing to unseen topologies.
-
Hybrid Predictive Quantum Feedback: Extending Qubit Lifetimes Beyond the Wiseman-Milburn Limit
Hybrid feedback with a coherently coupled fast ancilla and a homodyne-current predictor achieves 3-4 times longer qubit T1 than the Wiseman-Milburn limit in Lindblad-derived rates and IBM-scale simulations.
-
Dynamical Regimes of Two Qubits Coupled through a Transmission Line
Two qubits coupled by a finite transmission line show non-Markovian dynamics in identifiable parameter regimes when the line is treated as a structured reservoir or few-mode coupler.