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Quantum Latent Gan Benchmark

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Controlled benchmark methodology for evaluating quantum vs classical generative augmentation in medical imaging

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  • Added September 11, 2026
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Scanned September 11, 2026

npx -y skills add hiyenwong/ai_collection --skill quantum-latent-gan-benchmark --agent claude-code

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SKILL.md
---
name: quantum-latent-gan-benchmark
description: Controlled benchmark methodology for evaluating quantum vs classical generative augmentation in medical imaging
category: neuroscience
trigger_words: [quantum GAN benchmark, quantum augmentation, controlled benchmark, latent GAN]
arxiv_id: 2606.18970
---
# A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI

## Summary
Controlled benchmark isolating quantum generator contribution to brain-MRI augmentation. Quantum and classical generators statistically indistinguishable. No augmentation variant outperforms real-data-only training. Low-data benefit behaves as regularization not faithful data expansion.

## Core Methodology
- **Category**: cs.LG
- **Authors**: Syed Mujtaba Haider, Silvia Figini
- **arXiv**: [2606.18970](https://arxiv.org/abs/2606.18970)

## Key Concepts
- quantum GAN
- data augmentation
- benchmark
- brain MRI
- generative models
- quantum vs classical
- medical imaging

## Activation Triggers
quantum GAN benchmark, quantum augmentation, controlled benchmark, latent GAN

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