Summary of Quantum Machine Learning in the Cognitive Domain: Alzheimer’s Disease Study, by Emine Akpinar
Quantum Machine Learning in the Cognitive Domain: Alzheimer’s Disease Study
by Emine Akpinar
First submitted to arxiv on: 15 Sep 2023
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Quantum Physics (quant-ph)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel approach to diagnosing Alzheimer’s disease (AD) using handwriting analysis. Researchers have long known that AD affects various mental faculties, including attention, memory, and higher-order cognitive functions, which can impact an individual’s ability to comprehend information, acquire new knowledge, and communicate effectively. By analyzing specific features of handwriting, such as pressure, velocity, and spatial organization, subtle changes may indicate early-stage cognitive impairments, particularly AD. Recent developments in classical artificial intelligence (AI) methods have shown promise in detecting AD through handwriting analysis, but these approaches demand greater computational resources and diagnoses are often affected by limited classical vector spaces and feature correlations. Quantum computing technologies, which harness the unique properties of quantum particles such as superposition and entanglement, can address these problems and accelerate complex data analysis and enable more efficient processing of large datasets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about a new way to use computers to help diagnose Alzheimer’s disease. Alzheimer’s is a type of dementia that makes it hard for people to remember things and think clearly. Doctors are trying to find better ways to diagnose Alzheimer’s, especially in the early stages when treatments might work best. One idea is to look at how people write, because small changes in handwriting can be signs of cognitive decline. Some computers are already good at looking at handwriting, but they need a lot of power and sometimes make mistakes. This paper suggests using special quantum computers that are really good at processing lots of information quickly. These computers might help doctors diagnose Alzheimer’s earlier and more accurately. |
Keywords
* Artificial intelligence * Attention
