Quantum Model Parallelism for MRI-Based Classification of Alzheimer's Disease Stages
cs.LG, quant-ph
Submitted: 2026-01-28
Updated: 2026-10-03
Comments: Under review at Quantum Machine Intelligence (Springer Nature)
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Alzheimer's Disease Brain MRI Classification: Challenges and Insights
- Classification with Quantum Machine Learning: A Survey
- Study of Feature Importance for Quantum Machine Learning Models
- Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries
- Cancer Detection Using Quantum Neural Networks: A Demonstration on a Quantum Computer
- Quantum computing for genomics: conceptual challenges and practical perspectives
- Quantum DNA Sequencing using Gaussian Amplitude Amplification
- CQ CNN: A Hybrid Classical Quantum Convolutional Neural Network for Alzheimer's Disease Detection Using Diffusion Generated and U Net Segmented 3D MRI
- HQCM-EBTC: A Hybrid Quantum-Classical Model for Explainable Brain Tumor Classification
- Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
- A Quick Guide to Quantum Communication
- Comparing Quantum Encoding Techniques
- QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering
- Adam: A Method for Stochastic Optimization
- Gradients of parameterized quantum gates using the parameter-shift rule and gate decomposition
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