User:Jgus716/Evaluate an Article

Evaluate an article
This is where you will complete your article evaluation. Please use the template below to evaluate your selected article.


 * Name of article: Quantum machine learning
 * Briefly describe why you have chosen this article to evaluate. I am interested in machine learning and artificial intelligence. Both of these topics are a new, emerging field involved with quantum computing.

Lead

 * Guiding questions


 * Does the Lead include an introductory sentence that concisely and clearly describes the article's topic? Yes, but it is very vague. It states the Quantum ML is a new and emerging field, but provides very little substance.
 * Does the Lead include a brief description of the article's major sections? The lead is very vague, and describes the background of quantum computing mores than it does Quantum ML.
 * Does the Lead include information that is not present in the article? No.
 * Is the Lead concise or is it overly detailed? The lead is concise, but is rather vague. It provides such a large overview of the topic.

Content

 * Guiding questions


 * Is the article's content relevant to the topic? Yes, the article goes into depth involving Quantum ML. The article describes the history and current advancements in the field.
 * Is the content up-to-date? The content appears to be up to date. All of the citations are within the past 10 years. The field is emerging, so it is critical for the page to be constantly updated.
 * Is there content that is missing or content that does not belong? I do not believe there is content that doesn't belong. However, I'm sure there is more information that can be added. For such an in-depth topic, there is not a huge amount of information.

Tone and Balance

 * Guiding questions


 * Is the article neutral? The article appears neutral. The page describes the current and future possibilities for Quantum ML without producing an opinion on the topic.
 * Are there any claims that appear heavily biased toward a particular position? I do not believe so.
 * Are there viewpoints that are overrepresented, or underrepresented? For the most part no, but the idea that the field is so new is constantly repeated. The authors do not support that claim in either a positive or negative light, but that notion is prevalent throughout the entire article.
 * Does the article attempt to persuade the reader in favor of one position or away from another? I do not believe so. The article presents the facts, and does provide a positive light for the future of Quantum ML, however.

Sources and References

 * Guiding questions


 * Are all facts in the article backed up by a reliable secondary source of information? There appears to be a ton of citations, and all the facts seem to be backed by scholarly articles.
 * Are the sources thorough - i.e. Do they reflect the available literature on the topic? Yes, the sources appear thorough.
 * Are the sources current? Yes, most appear to be within the past 5-10 years. Many are as current as 2018, 2019.
 * Check a few links. Do they work? The citations work and bring me directly to a scholarly article.

Organization

 * Guiding questions


 * Is the article well-written - i.e. Is it concise, clear, and easy to read? The article is organized into well defined sections. With in the sections themselves, the article will often get lost and go on tangents about quantum computing rather than ML. But the overall organization makes it easy to follow.
 * Does the article have any grammatical or spelling errors? No.
 * Is the article well-organized - i.e. broken down into sections that reflect the major points of the topic? Yes, the sections cover the necessary major aspects of Quantum ML.

Images and Media

 * Guiding questions


 * Does the article include images that enhance understanding of the topic? No there are no images. The article could really benefit from visual aides. It is a difficult topic to grasp, and the lack of images does not help the reader in any way.
 * Are images well-captioned? Not applicable.
 * Do all images adhere to Wikipedia's copyright regulations? Not applicable.
 * Are the images laid out in a visually appealing way? Not applicable.

Checking the talk page

 * Guiding questions


 * What kinds of conversations, if any, are going on behind the scenes about how to represent this topic? There is an interesting topic being discussed. The user explains that the article covers two topics: M being performed on Quantum Computers, and classical ML algorithms being used to solve Quantum mechanics problems. The user believes that the latter should be moved to a different page.
 * How is the article rated? Is it a part of any WikiProjects? The article is rated B-class, and is part of 3 Wikiprojects.
 * How does the way Wikipedia discusses this topic differ from the way we've talked about it in class? We have not explicitly covered Quantum ML, but the article does discuss the basics of quantum computing. While the article goes in much more detailed formulas and expressions, the general ideas presented are the same.

Overall impressions

 * Guiding questions


 * What is the article's overall status? The article was last updated in April of 2020.
 * What are the article's strengths? The article provides a great generalization of the possible advancements in the field of Quantum ML. It provides formulas and expressions, as well as a good history.
 * How can the article be improved? The article should really include images that help the reader better understand the topic.
 * How would you assess the article's completeness - i.e. Is the article well-developed? Is it underdeveloped or poorly developed? The article is well developed, but certainly has room for improvement.

Optional activity

 * Choose at least 1 question relevant to the article you're evaluating and leave your evaluation on the article's Talk page. Be sure to sign your feedback

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