A new generalized two-qubit Hamiltonian PQFM is introduced and benchmarked on four biomedical datasets, showing the most consistent statistically supported gains over classical baselines using IBM hardware and simulations.
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quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Hybrid quantum-classical model with quantum feature encoding and clustering outperforms classical neural networks for LPBF melt pool prediction.
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Generalized two-qubit Hamiltonian for Projective Quantum Feature Maps
A new generalized two-qubit Hamiltonian PQFM is introduced and benchmarked on four biomedical datasets, showing the most consistent statistically supported gains over classical baselines using IBM hardware and simulations.
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A Hybrid Quantum-Classical Approach for Melt Pool Prediction in Laser Powder Bed Fusion
Hybrid quantum-classical model with quantum feature encoding and clustering outperforms classical neural networks for LPBF melt pool prediction.