25 citations · 49 across the 9 of their papers we have counts for
4 papers · 2 filters
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…
Non-Markovian Dynamics of Time-Fractional Open Quantum Systems
Dongmei Wei, Hailing Liu, Yongmei Li +3
Applications of Time-Fractional Schrodinger Equations (TFSEs) to quantum processes are instructive for understanding and describing the time behavior of real physical systems. By a…
Proactively incremental-learning QAOA
Lingxiao Li, Jing Li, Yanqi Song +3
Solving optimization problems with high performance is the target of existing works of Quantum Approximate Optimization Algorithm (QAOA). With this intention, we propose an advance…
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…