2 citations · 4 across the 6 of their papers we have counts for
6 papers
A NISQ-Aware Hybrid Quantum-Classical Framework for Scalable Combinatorial Optimization
Haolong Ding, Mohan Wu, Yin Xu +1
Scalable combinatorial optimization under resource-constrained quantum hardware remains a fundamental challenge in the Noisy Intermediate-Scale Quantum (NISQ) era, due to the misma…
rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations
Mohan Wu, Martin Lysy
Parameter estimation for ordinary differential equations (ODEs) plays a fundamental role in the analysis of dynamical systems. Generally lacking closed-form solutions, ODEs are tra…
A practical applicable quantum-classical hybrid ant colony algorithm for the NISQ era
Qian Qiu, Liang Zhang, Mohan Wu +4
Quantum ant colony optimization (QACO) has drew much attention since it combines the advantages of quantum computing and ant colony optimization (ACO) algorithm overcoming some lim…
Quantum Long Short-Term Memory for Drug Discovery
Liang Zhang, Yin Xu, Mohan Wu +2
Quantum computing combined with machine learning (ML) is a highly promising research area, with numerous studies demonstrating that quantum machine learning (QML) is expected to so…
A Novel Quantum Algorithm for Ant Colony Optimization
Qian Qiu, Mohan Wu, Qichun Sun +2
Quantum ant colony optimization (QACO) has drew much attention since it combines the advantages of quantum computing and ant colony optimization (ACO) algorithms and overcomes some…
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
Mohan Wu, Martin Lysy
Estimating the parameters of ordinary differential equations (ODEs) is of fundamental importance in many scientific applications. While ODEs are typically approximated with determi…