130 citations · 214 across the 12 of their papers we have counts for
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quant-ph2023★ 1 cited
A Quantum Federated Learning Framework for Classical Clients
Yanqi Song, Yusen Wu, Shengyao Wu +4
Quantum Federated Learning (QFL) enables collaborative training of a Quantum Machine Learning (QML) model among multiple clients possessing quantum computing capabilities, without…
quant-ph2023★ 1 cited
Trainability Analysis of Quantum Optimization Algorithms from a Bayesian Lens
Yanqi Song, Yusen Wu, Sujuan Qin +3
The Quantum Approximate Optimization Algorithm (QAOA) is an extensively studied variational quantum algorithm utilized for solving optimization problems on near-term quantum device…
quant-ph2023
Learning the Complexity of Weakly Noisy Quantum States
Yusen Wu, Bujiao Wu, Yanqi Song +2
Quantifying the complexity of quantum states is a longstanding key problem in various subfields of science, ranging from quantum computing to the black-hole theory. The lower bound…