363 citations · 1.2k across the 45 of their papers we have counts for
45 papers
Auxiliary-qubit-free quantum approximate optimization algorithm for the minimum dominating set problem
Guanghui Li, Xiaohui Ni, Junjian Su +5
Quantum Approximate Optimization Algorithm (QAOA) is a promising framework for solving combinatorial optimization problems on near-term quantum devices. One such problem is the Min…
Iterative Partition Search Variational Quantum Algorithm for Solving Shortest Vector Problem
Zi-Wen Huang, Xiao-Hui Ni, Jia-Cheng Fan +4
The Partition Search Algorithm (PSA) and Iterative Quantum Optimization with an Adaptive Problem (IQOAP) are leading variational quantum algorithms for solving Shortest Vector Prob…
QGAN-based data augmentation for hybrid quantum-classical neural networks
Run-Ze He, Jun-Jian Su, Su-Juan Qin +2
Quantum neural networks converge faster and achieve higher accuracy than classical models. However, data augmentation in quantum machine learning remains underexplored. To tackle d…
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…
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…