# CQ-CNN: A lightweight hybrid classical–quantum convolutional neural network for Alzheimer’s disease detection using 3D structural brain MRI

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cq-cnn-a-lightweight-hybrid-classical-quantum-convolutional-neural-network-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mominul Islam,Mohammad Junayed Hasan,M. R. C. Mahdy |
| Citations | 11 |
| DOI | 10.1371/journal.pone.0331870 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1371/journal.pone.0331870 |
| OpenAlex ID | https://openalex.org/W4414404842 |
| PMID | 40982572 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Mohammad Junayed Hasan](https://scholariq.org/researchers/mohammad-junayed-hasan/)

## Paper journal

- [PLoS ONE](https://scholariq.org/journals/plos-one/)

## Paper primary topic

- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)

## Paper topics

- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)
- [Quantum Computing Algorithms and Architecture](https://scholariq.org/topics/quantum-computing-algorithms-and-architecture/)
- [Stochastic Gradient Optimization Techniques](https://scholariq.org/topics/stochastic-gradient-optimization-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.