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Hybrid Classical-Quantum pipeline for Alzheimer's classification — supervised β-VAE + quantum kernels + quantum feature maps
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基于 SOC 职业分类
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| name | hcq-alzheimer-quantum-classification |
| description | Hybrid Classical-Quantum pipeline for Alzheimer's classification — supervised β-VAE + quantum kernels + quantum feature maps |
| category | neuroscience |
| trigger_words | ["HCQ","alzheimer","quantum kernel","β-VAE","quantum SVM","quantum classification"] |
| arxiv_id | 2606.14194 |
Two-stage HCQ pipeline for binary AD classification from 3D T1-weighted MRI. Supervised 3D β-VAE compresses volumes to 64D latent code, PLS selects 6 disease-aware components, encoded via ZZ feature map onto 6-qubit register, then quantum kernel SVM. Achieves 72.1% accuracy, 0.799 AUC.
HCQ, alzheimer, quantum kernel, β-VAE, quantum SVM, quantum classification
