130 citations · 214 across the 12 of their papers we have counts for
12 papers
An Adaptive Mixer Allocation Algorithm for the Quantum Alternating Operator Ansatz
Xiao-Hui Ni, Yu-Sen Wu, Bin-Bin Cai +3
Recently, Hadfield et al. proposed the quantum alternating operator ansatz algorithm (QAOA+), an extension of the quantum approximate optimization algorithm (QAOA), to solve constr…
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…
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 Phase Recognition via Quantum Kernel Methods
Yusen Wu, Bujiao Wu, Jingbo Wang +1
The application of quantum computation to accelerate machine learning algorithms is one of the most promising areas of research in quantum algorithms. In this paper, we explore the…
Quantum algorithm for Neighborhood Preserving Embedding
Shi-Jie Pan, Lin-Chun Wan, Hai-Ling Liu +4
Neighborhood Preserving Embedding (NPE) is an important linear dimensionality reduction technique that aims at preserving the local manifold structure. NPE contains three steps, i.…
Estimating Gibbs partition function with quantumClifford sampling
Yusen Wu, Jingbo Wang
The partition function is an essential quantity in statistical mechanics, and its accurate computation is a key component of any statistical analysis of quantum system and phenomen…
Variational Quantum algorithm for Poisson equation
Hailing Liu, Yusen Wu, Linchun Wan +4
The Poisson equation has wide applications in many areas of science and engineering. Although there are some quantum algorithms that can efficiently solve the Poisson equation, the…
Quantum restricted Boltzmann machine universal for quantum computation
Yusen Wu, Chunyan Wei, Sujuan Qin +2
The challenge posed by the many-body problem in quantum physics originates from the difficulty of describing the nontrivial correlations encoded in the many-body wave functions wit…
Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces
Yusen Wu, Chao-hua Yu, Sujuan Qin +2
Bayesian learning is ubiquitous for implementing classification and regression tasks, however, it is accompanied by computationally intractable limitations when the feature spaces…
Quantum algorithm for logistic regression
Hai-Ling Liu, Chao-Hua Yu, Yu-Sen Wu +4
Logistic regression (LR) is an important machine learning model for classification, with wide applications in text classification, image analysis and medicine diagnosis, etc. Howev…
Quantum Conditional Random Field
Yusen Wu, Chao-Hua Yu, Binbin Cai +3
Conditional random field (CRF) is an important probabilistic machine learning model for labeling sequential data, which is widely utilized in natural language processing, bioinform…