14 citations · 16 across the 8 of their papers we have counts for
8 papers
Quantum Multi-view Kernel Learning with Local Information
Jing Li, Yanqi Song, Sujuan Qin +1
Kernel methods serve as powerful tools to capture nonlinear patterns behind data in machine learning. The quantum kernel, integrating kernel theory with quantum computing, has attr…
Progressive Quantum Algorithm for Maximum Independent Set with Quantum Alternating Operator Ansatz
Xiao-Hui Ni, Ling-Xiao Li, Yan-Qi Song +3
Hadfield et al. proposed a novel Quantum Alternating Operator Ansatz algorithm (QAOA+), and this algorithm has wide applications in solving constrained combinatorial optimization p…
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification
Sheng-Yao Wu, Run-Ze Li, Yan-Qi Song +3
Neural network is a powerful learning paradigm for data feature learning in the era of big data. However, most neural network models are deterministic models that ignore the uncert…
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…
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…
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…
Quantum Alternating Operator Ansatz for Solving the Minimum Exact Cover Problem
Sha-Sha Wang, Hai-Ling Liu, Su-Juan Qin +2
The Quantum Alternating Operator Ansatz (QAOA+) is an extension of the Quantum Approximate Optimization Algorithm (QAOA), where the search space is smaller in solving constrained c…