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Found 2 papers, 1 papers with code
Hybrid Quantum Graph Neural Network for Molecular Property Prediction
The performance of our hybrid statistical model is competitive with the results obtained purely from a classical convoluted graph neural network, and other classical machine learning algorithms, such as XGBoost.
Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms
Therefore, our modeling approach with hybrid quantum algorithms can be applicable for combinatorial problems in various fields to find an optimal solution in polynomial time.
Quantum Physics Data Structures and Algorithms
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