Multi-VQC approach for healthcare classification using variational quantum circuits to address class imbalance in medical datasets.
Scanned 9/11/2026
Install to Claude Code
npx -y skills add hiyenwong/ai_collection --skill multi-vqc-healthcare --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: multi-vqc-healthcare
description: "Multi-VQC approach for healthcare classification using variational quantum circuits to address class imbalance in medical datasets."
---
# Multi-VQC Healthcare
## Description
Multi-Variational Quantum Circuit (Multi-VQC) methodology for enhancing healthcare classification tasks with significant class imbalance. Based on arXiv:2505.20797. Uses multiple VQC modules to map data into higher-dimensional quantum feature spaces, overcoming classical model limitations on imbalanced datasets.
## Activation Keywords
- multi-vqc
- quantum healthcare classification
- quantum imbalance
- VQC medical
- quantum disease classification
## Core Concepts
- Multiple VQC modules for different feature subspaces
- Quantum feature space expansion for class separation
- Effective on Prostate Cancer, Heart Failure, Diabetes datasets
- Published at 2025 IEEE International Conference on Quantum Software (QSW)
## Related Skills
- `hybrid-quantum-medical-imaging`: HQNN for medical imaging
- `quantum-ml-patterns`: QML research patterns
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