Hcq Alzheimer Quantum Classification

---
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
---
# Hybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised β-VAE and Quantum Kernels

## Summary
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.

## Core Methodology
- **Category**: cs.CV
- **Authors**: Tia Tiwari, Vamshi Krishna Kancharla, Neelam Sinha
- **arXiv**: [2606.14194](https://arxiv.org/abs/2606.14194)

## Key Concepts
- alzheimer
- quantum kernel
- β-VAE
- quantum SVM
- medical imaging
- hybrid quantum-classical
- quantum feature map
- MRI classification

## Activation Triggers
HCQ, alzheimer, quantum kernel, β-VAE, quantum SVM, quantum classification