20 citations
3 papers
cs.AI2025★ 1 cited
Improving Subgraph Matching by Combining Algorithms and Graph Neural Networks
Shuyang Guo, Wenjin Xie, Ping Lu +5
Homomorphism is a key mapping technique between graphs that preserves their structure. Given a graph and a pattern, the subgraph homomorphism problem involves finding a mapping fro…
physics.comp-ph2024★ 19 cited
A hybrid quantum-classical framework for computational fluid dynamics
Chuang-Chao Ye, Ning-Bo An, Teng-Yang Ma +4
Great progress has been made in quantum computing in recent years, providing opportunities to overcome computation resource poverty in many scientific computations like computation…
physics.comp-ph2024★ 20 cited
Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers
Zhao-Yun Chen, Teng-Yang Ma, Chuang-Chao Ye +29
Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. T…